diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
index 7cd4096..717393f 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -4,11 +4,6 @@ title: "[BUG]: "
 labels: ["bug"]
 assignees:
   - amirhessam88
-  - Tsmith5151
-  - richardNam
-  - mkohram
-  - b-mohebali
-  - nicholasjma
 body:
   - type: markdown
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml
index f1715b1..76dbbbb 100644
--- a/.github/ISSUE_TEMPLATE/feature_request.yml
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -4,11 +4,6 @@ title: "[FEATURE]: "
 labels: ["enhancement"]
 assignees:
   - amirhessam88
-  - Tsmith5151
-  - richardNam
-  - mkohram
-  - b-mohebali
-  - nicholasjma
 body:
   - type: markdown
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/improve_documentation.yml b/.github/ISSUE_TEMPLATE/improve_documentation.yml
index 820df58..cd2ee7b 100644
--- a/.github/ISSUE_TEMPLATE/improve_documentation.yml
+++ b/.github/ISSUE_TEMPLATE/improve_documentation.yml
@@ -4,11 +4,6 @@ title: "[DOCUMENTATION]: "
 labels: ["documentation"]
 assignees:
   - amirhessam88
-  - Tsmith5151
-  - richardNam
-  - mkohram
-  - b-mohebali
-  - nicholasjma
 body:
   - type: markdown
     attributes:
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index fca127b..432ac4b 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -21,6 +21,8 @@ jobs:
     #----------------------------------------------
     runs-on: ${{ matrix.os }}
     strategy:
+      # TODO(amir): currently this is `false` so we can use the `poetry-cache` of `python v3.8`
+      # once the stupid `glmnet` dependency is resolved, change `fail-fast = True`
       fail-fast: false
       matrix:
         # TODO(amir): enable `windows-latest`, `macos-latest` and fix possible `poetry` issues and glmnet
@@ -58,6 +60,9 @@ jobs:
           # therefore, all the CI jobs for those python versions failed at first, then we re-run the
           # jobs, the cached venv using `python v3.8` will be retrieved and the jobs will run successfully
           # ideally, we should be able to add `python-versions` here to distinguish between caches
+          # key: venv-${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }}
+          # NOTE: `glmnet` has not been updated since 2020; trying to build it on-the-fly
+          # https://github.com/civisanalytics/python-glmnet/issues/79
           key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
       #----------------------------------------------
       #  -----  install dependencies  -----
diff --git a/poetry.lock b/poetry.lock
index 4521e77..2a5da72 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,10 +1,16 @@
+# This file is automatically @generated by Poetry and should not be changed by hand.
+
 [[package]]
 name = "add-trailing-comma"
-version = "2.3.0"
+version = "2.4.0"
 description = "Automatically add trailing commas to calls and literals"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "add_trailing_comma-2.4.0-py2.py3-none-any.whl", hash = "sha256:88fc66ddb7554b3519529f8e14d6c793d1ae66ccd2a7d0d5396a421d955eb521"},
+    {file = "add_trailing_comma-2.4.0.tar.gz", hash = "sha256:76c0e8a95cb4c06a7d9182db61573bb5253a76ee3a2bd0126b481cc0b4871713"},
+]
 
 [package.dependencies]
 tokenize-rt = ">=3.0.1"
@@ -16,6 +22,10 @@ description = "A configurable sidebar-enabled Sphinx theme"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "alabaster-0.7.12-py2.py3-none-any.whl", hash = "sha256:446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359"},
+    {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
+]
 
 [[package]]
 name = "appnope"
@@ -24,6 +34,10 @@ description = "Disable App Nap on macOS >= 10.9"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
+    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+]
 
 [[package]]
 name = "assertpy"
@@ -32,6 +46,9 @@ description = "Simple assertion library for unit testing in python with a fluent
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "assertpy-1.1.tar.gz", hash = "sha256:acc64329934ad71a3221de185517a43af33e373bb44dc05b5a9b174394ef4833"},
+]
 
 [[package]]
 name = "astor"
@@ -40,6 +57,10 @@ description = "Read/rewrite/write Python ASTs"
 category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+files = [
+    {file = "astor-0.8.1-py2.py3-none-any.whl", hash = "sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5"},
+    {file = "astor-0.8.1.tar.gz", hash = "sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e"},
+]
 
 [[package]]
 name = "astroid"
@@ -48,6 +69,10 @@ description = "An abstract syntax tree for Python with inference support."
 category = "dev"
 optional = false
 python-versions = ">=3.7.2"
+files = [
+    {file = "astroid-2.12.13-py3-none-any.whl", hash = "sha256:10e0ad5f7b79c435179d0d0f0df69998c4eef4597534aae44910db060baeb907"},
+    {file = "astroid-2.12.13.tar.gz", hash = "sha256:1493fe8bd3dfd73dc35bd53c9d5b6e49ead98497c47b2307662556a5692d29d7"},
+]
 
 [package.dependencies]
 lazy-object-proxy = ">=1.4.0"
@@ -56,39 +81,52 @@ wrapt = {version = ">=1.11,<2", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "asttokens"
-version = "2.1.0"
+version = "2.2.1"
 description = "Annotate AST trees with source code positions"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
+    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+]
 
 [package.dependencies]
 six = "*"
 
 [package.extras]
-test = ["astroid (<=2.5.3)", "pytest"]
+test = ["astroid", "pytest"]
 
 [[package]]
 name = "attrs"
-version = "22.1.0"
+version = "22.2.0"
 description = "Classes Without Boilerplate"
 category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
+files = [
+    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
+    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
+]
 
 [package.extras]
-dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
-docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
-tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
-tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
+tests = ["attrs[tests-no-zope]", "zope.interface"]
+tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
 
 [[package]]
-name = "Babel"
+name = "babel"
 version = "2.11.0"
 description = "Internationalization utilities"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "Babel-2.11.0-py3-none-any.whl", hash = "sha256:1ad3eca1c885218f6dce2ab67291178944f810a10a9b5f3cb8382a5a232b64fe"},
+    {file = "Babel-2.11.0.tar.gz", hash = "sha256:5ef4b3226b0180dedded4229651c8b0e1a3a6a2837d45a073272f313e4cf97f6"},
+]
 
 [package.dependencies]
 pytz = ">=2015.7"
@@ -100,16 +138,25 @@ description = "Specifications for callback functions passed in to an API"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
+    {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
+]
 
 [[package]]
 name = "bayesian-optimization"
-version = "1.3.1"
+version = "1.4.2"
 description = "Bayesian Optimization package"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">= 3.7"
+files = [
+    {file = "bayesian-optimization-1.4.2.tar.gz", hash = "sha256:4e4e98cd0f0fb716202ea4c3b9e7c4c530270e69aa26f0eaf6ef715328f89c04"},
+    {file = "bayesian_optimization-1.4.2-py3-none-any.whl", hash = "sha256:c42a490eff0eea9f80d32c18d18f0ee4f2896390724cec57945f94dc0a267697"},
+]
 
 [package.dependencies]
+colorama = ">=0.4.6"
 numpy = ">=1.9.0"
 scikit-learn = ">=0.18.0"
 scipy = ">=1.0.0"
@@ -121,6 +168,10 @@ description = "Screen-scraping library"
 category = "dev"
 optional = false
 python-versions = ">=3.6.0"
+files = [
+    {file = "beautifulsoup4-4.11.1-py3-none-any.whl", hash = "sha256:58d5c3d29f5a36ffeb94f02f0d786cd53014cf9b3b3951d42e0080d8a9498d30"},
+    {file = "beautifulsoup4-4.11.1.tar.gz", hash = "sha256:ad9aa55b65ef2808eb405f46cf74df7fcb7044d5cbc26487f96eb2ef2e436693"},
+]
 
 [package.dependencies]
 soupsieve = ">1.2"
@@ -131,11 +182,25 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "22.10.0"
+version = "22.12.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "black-22.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eedd20838bd5d75b80c9f5487dbcb06836a43833a37846cf1d8c1cc01cef59d"},
+    {file = "black-22.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:159a46a4947f73387b4d83e87ea006dbb2337eab6c879620a3ba52699b1f4351"},
+    {file = "black-22.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d30b212bffeb1e252b31dd269dfae69dd17e06d92b87ad26e23890f3efea366f"},
+    {file = "black-22.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:7412e75863aa5c5411886804678b7d083c7c28421210180d67dfd8cf1221e1f4"},
+    {file = "black-22.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c116eed0efb9ff870ded8b62fe9f28dd61ef6e9ddd28d83d7d264a38417dcee2"},
+    {file = "black-22.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:1f58cbe16dfe8c12b7434e50ff889fa479072096d79f0a7f25e4ab8e94cd8350"},
+    {file = "black-22.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:77d86c9f3db9b1bf6761244bc0b3572a546f5fe37917a044e02f3166d5aafa7d"},
+    {file = "black-22.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:82d9fe8fee3401e02e79767016b4907820a7dc28d70d137eb397b92ef3cc5bfc"},
+    {file = "black-22.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101c69b23df9b44247bd88e1d7e90154336ac4992502d4197bdac35dd7ee3320"},
+    {file = "black-22.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:559c7a1ba9a006226f09e4916060982fd27334ae1998e7a38b3f33a37f7a2148"},
+    {file = "black-22.12.0-py3-none-any.whl", hash = "sha256:436cc9167dd28040ad90d3b404aec22cedf24a6e4d7de221bec2730ec0c97bcf"},
+    {file = "black-22.12.0.tar.gz", hash = "sha256:229351e5a18ca30f447bf724d007f890f97e13af070bb6ad4c0a441cd7596a2f"},
+]
 
 [package.dependencies]
 click = ">=8.0.0"
@@ -153,11 +218,15 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2022.9.24"
+version = "2022.12.7"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"},
+    {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
+]
 
 [[package]]
 name = "cffi"
@@ -166,6 +235,72 @@ description = "Foreign Function Interface for Python calling C code."
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"},
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+    {file = "cffi-1.15.1-cp27-cp27m-win32.whl", hash = "sha256:b3bbeb01c2b273cca1e1e0c5df57f12dce9a4dd331b4fa1635b8bec26350bde3"},
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+]
 
 [package.dependencies]
 pycparser = "*"
@@ -177,9 +312,13 @@ description = "The Real First Universal Charset Detector. Open, modern and activ
 category = "dev"
 optional = false
 python-versions = ">=3.6.0"
+files = [
+    {file = "charset-normalizer-2.1.1.tar.gz", hash = "sha256:5a3d016c7c547f69d6f81fb0db9449ce888b418b5b9952cc5e6e66843e9dd845"},
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+]
 
 [package.extras]
-unicode_backport = ["unicodedata2"]
+unicode-backport = ["unicodedata2"]
 
 [[package]]
 name = "classify-imports"
@@ -188,6 +327,10 @@ description = "Utilities for refactoring imports in python-like syntax."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+]
 
 [[package]]
 name = "click"
@@ -196,6 +339,10 @@ description = "Composable command line interface toolkit"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
@@ -207,6 +354,10 @@ description = "Extended pickling support for Python objects"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
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+]
 
 [[package]]
 name = "colorama"
@@ -215,6 +366,28 @@ description = "Cross-platform colored terminal text."
 category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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+]
+
+[[package]]
+name = "comm"
+version = "0.1.2"
+description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
+[package.dependencies]
+traitlets = ">=5.3"
+
+[package.extras]
+test = ["pytest"]
 
 [[package]]
 name = "coverage"
@@ -223,6 +396,58 @@ description = "Code coverage measurement for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
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+    {file = "coverage-6.5.0-pp36.pp37.pp38-none-any.whl", hash = "sha256:1431986dac3923c5945271f169f59c45b8802a114c8f548d611f2015133df77a"},
+    {file = "coverage-6.5.0.tar.gz", hash = "sha256:f642e90754ee3e06b0e7e51bce3379590e76b7f76b708e1a71ff043f87025c84"},
+]
 
 [package.dependencies]
 tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
@@ -237,6 +462,10 @@ description = "Composable style cycles"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
+    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+]
 
 [[package]]
 name = "data-science-types"
@@ -245,17 +474,41 @@ description = "Type stubs for Python machine learning libraries"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "data-science-types-0.2.23.tar.gz", hash = "sha256:8096b9a35a8a187bf9a122b4707c97de841d810744690ee2a4ac30c6462e0d16"},
+    {file = "data_science_types-0.2.23-py3-none-any.whl", hash = "sha256:bca319abc0e53a0316f9fcb887937e942477cb9e5fc63c8581e0b0438903b977"},
+]
 
 [package.extras]
 dev = ["black", "flake8", "flake8-pyi", "matplotlib", "mypy (==0.770)", "numpy", "pandas", "pytest"]
 
 [[package]]
 name = "debugpy"
-version = "1.6.3"
+version = "1.6.4"
 description = "An implementation of the Debug Adapter Protocol for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "debugpy-1.6.4-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:6ae238943482c78867ac707c09122688efb700372b617ffd364261e5e41f7a2f"},
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+    {file = "debugpy-1.6.4-cp39-cp39-win32.whl", hash = "sha256:3d9c31baf64bf959a593996c108e911c5a9aa1693a296840e5469473f064bcec"},
+    {file = "debugpy-1.6.4-cp39-cp39-win_amd64.whl", hash = "sha256:ea4bf208054e6d41749f17612066da861dff10102729d32c85b47f155223cf2b"},
+    {file = "debugpy-1.6.4-py2.py3-none-any.whl", hash = "sha256:e886a1296cd20a10172e94788009ce74b759e54229ebd64a43fa5c2b4e62cd76"},
+    {file = "debugpy-1.6.4.zip", hash = "sha256:d5ab9bd3f4e7faf3765fd52c7c43c074104ab1e109621dc73219099ed1a5399d"},
+]
 
 [[package]]
 name = "decorator"
@@ -264,6 +517,10 @@ description = "Decorators for Humans"
 category = "dev"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
 
 [[package]]
 name = "distlib"
@@ -272,6 +529,10 @@ description = "Distribution utilities"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "distlib-0.3.6-py2.py3-none-any.whl", hash = "sha256:f35c4b692542ca110de7ef0bea44d73981caeb34ca0b9b6b2e6d7790dda8f80e"},
+    {file = "distlib-0.3.6.tar.gz", hash = "sha256:14bad2d9b04d3a36127ac97f30b12a19268f211063d8f8ee4f47108896e11b46"},
+]
 
 [[package]]
 name = "docutils"
@@ -280,6 +541,10 @@ description = "Docutils -- Python Documentation Utilities"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "docutils-0.19-py3-none-any.whl", hash = "sha256:5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc"},
+    {file = "docutils-0.19.tar.gz", hash = "sha256:33995a6753c30b7f577febfc2c50411fec6aac7f7ffeb7c4cfe5991072dcf9e6"},
+]
 
 [[package]]
 name = "entrypoints"
@@ -288,6 +553,10 @@ description = "Discover and load entry points from installed packages."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"},
+    {file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"},
+]
 
 [[package]]
 name = "eradicate"
@@ -296,14 +565,22 @@ description = "Removes commented-out code."
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "eradicate-2.1.0-py3-none-any.whl", hash = "sha256:8bfaca181db9227dc88bdbce4d051a9627604c2243e7d85324f6d6ce0fd08bb2"},
+    {file = "eradicate-2.1.0.tar.gz", hash = "sha256:aac7384ab25b1bf21c4c012de9b4bf8398945a14c98c911545b2ea50ab558014"},
+]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.0.4"
+version = "1.1.0"
 description = "Backport of PEP 654 (exception groups)"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "exceptiongroup-1.1.0-py3-none-any.whl", hash = "sha256:327cbda3da756e2de031a3107b81ab7b3770a602c4d16ca618298c526f4bec1e"},
+    {file = "exceptiongroup-1.1.0.tar.gz", hash = "sha256:bcb67d800a4497e1b404c2dd44fca47d3b7a5e5433dbab67f96c1a685cdfdf23"},
+]
 
 [package.extras]
 test = ["pytest (>=6)"]
@@ -315,6 +592,10 @@ description = "Get the currently executing AST node of a frame, and other inform
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"},
+    {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"},
+]
 
 [package.extras]
 tests = ["asttokens", "littleutils", "pytest", "rich"]
@@ -326,21 +607,29 @@ description = "Fastest Python implementation of JSON schema"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "fastjsonschema-2.16.2-py3-none-any.whl", hash = "sha256:21f918e8d9a1a4ba9c22e09574ba72267a6762d47822db9add95f6454e51cc1c"},
+    {file = "fastjsonschema-2.16.2.tar.gz", hash = "sha256:01e366f25d9047816fe3d288cbfc3e10541daf0af2044763f3d0ade42476da18"},
+]
 
 [package.extras]
 devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
 
 [[package]]
 name = "filelock"
-version = "3.8.0"
+version = "3.8.2"
 description = "A platform independent file lock."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "filelock-3.8.2-py3-none-any.whl", hash = "sha256:8df285554452285f79c035efb0c861eb33a4bcfa5b7a137016e32e6a90f9792c"},
+    {file = "filelock-3.8.2.tar.gz", hash = "sha256:7565f628ea56bfcd8e54e42bdc55da899c85c1abfe1b5bcfd147e9188cebb3b2"},
+]
 
 [package.extras]
-docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"]
-testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"]
+docs = ["furo (>=2022.9.29)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
+testing = ["covdefaults (>=2.2.2)", "coverage (>=6.5)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-timeout (>=2.1)"]
 
 [[package]]
 name = "flake8"
@@ -349,6 +638,10 @@ description = "the modular source code checker: pep8 pyflakes and co"
 category = "dev"
 optional = false
 python-versions = ">=3.6.1"
+files = [
+    {file = "flake8-5.0.4-py2.py3-none-any.whl", hash = "sha256:7a1cf6b73744f5806ab95e526f6f0d8c01c66d7bbe349562d22dfca20610b248"},
+    {file = "flake8-5.0.4.tar.gz", hash = "sha256:6fbe320aad8d6b95cec8b8e47bc933004678dc63095be98528b7bdd2a9f510db"},
+]
 
 [package.dependencies]
 mccabe = ">=0.7.0,<0.8.0"
@@ -362,6 +655,10 @@ description = "Flake8 Type Annotation Checks"
 category = "dev"
 optional = false
 python-versions = ">=3.7,<4.0"
+files = [
+    {file = "flake8-annotations-2.9.1.tar.gz", hash = "sha256:11f09efb99ae63c8f9d6b492b75fe147fbc323179fddfe00b2e56eefeca42f57"},
+    {file = "flake8_annotations-2.9.1-py3-none-any.whl", hash = "sha256:a4385158a7a9fc8af1d8820a2f4c8d03387997006a83f5f8bfe5bc6085bdf88a"},
+]
 
 [package.dependencies]
 attrs = ">=21.4"
@@ -374,6 +671,10 @@ description = "Flake8 lint for trailing commas."
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "flake8-commas-2.1.0.tar.gz", hash = "sha256:940441ab8ee544df564ae3b3f49f20462d75d5c7cac2463e0b27436e2050f263"},
+    {file = "flake8_commas-2.1.0-py2.py3-none-any.whl", hash = "sha256:ebb96c31e01d0ef1d0685a21f3f0e2f8153a0381430e748bf0bbbb5d5b453d54"},
+]
 
 [package.dependencies]
 flake8 = ">=2"
@@ -385,6 +686,10 @@ description = "A flake8 plugin to help you write better list/set/dict comprehens
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "flake8-comprehensions-3.10.1.tar.gz", hash = "sha256:412052ac4a947f36b891143430fef4859705af11b2572fbb689f90d372cf26ab"},
+    {file = "flake8_comprehensions-3.10.1-py3-none-any.whl", hash = "sha256:d763de3c74bc18a79c039a7ec732e0a1985b0c79309ceb51e56401ad0a2cd44e"},
+]
 
 [package.dependencies]
 flake8 = ">=3.0,<3.2.0 || >3.2.0"
@@ -396,6 +701,10 @@ description = "Flake8 plugin to find commented out code"
 category = "dev"
 optional = false
 python-versions = ">=3.7,<4.0"
+files = [
+    {file = "flake8-eradicate-1.4.0.tar.gz", hash = "sha256:3088cfd6717d1c9c6c3ac45ef2e5f5b6c7267f7504d5a74b781500e95cb9c7e1"},
+    {file = "flake8_eradicate-1.4.0-py3-none-any.whl", hash = "sha256:e3bbd0871be358e908053c1ab728903c114f062ba596b4d40c852fd18f473d56"},
+]
 
 [package.dependencies]
 attrs = "*"
@@ -409,6 +718,10 @@ description = "flake8 plugin which checks for code that can be simplified"
 category = "dev"
 optional = false
 python-versions = ">=3.6.1"
+files = [
+    {file = "flake8_simplify-0.19.3-py3-none-any.whl", hash = "sha256:1057320e9312d75849541fee822900d27bcad05b2405edc84713affee635629e"},
+    {file = "flake8_simplify-0.19.3.tar.gz", hash = "sha256:2fb083bf5142a98d9c9554755cf2f56f8926eb4a33eae30c0809041b1546879e"},
+]
 
 [package.dependencies]
 astor = ">=0.1"
@@ -421,6 +734,10 @@ description = "A flake8 plugin that helps you write tidier imports."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "flake8-tidy-imports-4.8.0.tar.gz", hash = "sha256:df44f9c841b5dfb3a7a1f0da8546b319d772c2a816a1afefcce43e167a593d83"},
+    {file = "flake8_tidy_imports-4.8.0-py3-none-any.whl", hash = "sha256:25bd9799358edefa0e010ce2c587b093c3aba942e96aeaa99b6d0500ae1bf09c"},
+]
 
 [package.dependencies]
 flake8 = ">=3.8.0"
@@ -432,6 +749,10 @@ description = "A flake8 plugin for managing type-checking imports & forward refe
 category = "dev"
 optional = false
 python-versions = ">=3.8"
+files = [
+    {file = "flake8_type_checking-2.3.0-py3-none-any.whl", hash = "sha256:7117b8a22d64db02f9d8c724df5d2517e59c6290b034cfa54496c7ae73c07f51"},
+    {file = "flake8_type_checking-2.3.0.tar.gz", hash = "sha256:f802c9933b2a98b96fc4a0b3b90ef0f8379625f867cb73633c09fc2bf746333b"},
+]
 
 [package.dependencies]
 astor = {version = "*", markers = "python_version < \"3.9\""}
@@ -445,6 +766,10 @@ description = "flake8 plugin which checks that typing imports are properly guard
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "flake8_typing_imports-1.14.0-py2.py3-none-any.whl", hash = "sha256:3008214280cd96092e7ebbad87dc62bb0e03020c12e8c342f6565cbddfdd67c7"},
+    {file = "flake8_typing_imports-1.14.0.tar.gz", hash = "sha256:0612976976f1e90bd4588a03d9be5a9c408411e5dc46b29cc6b052e5de42277c"},
+]
 
 [package.dependencies]
 flake8 = ">=5.0"
@@ -456,6 +781,9 @@ description = "Flake8 plugin for string formatting style."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "flake8-use-fstring-1.4.tar.gz", hash = "sha256:6550bf722585eb97dffa8343b0f1c372101f5c4ab5b07ebf0edd1c79880cdd39"},
+]
 
 [package.dependencies]
 flake8 = ">=3"
@@ -472,6 +800,10 @@ description = "Tools to manipulate font files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "fonttools-4.38.0-py3-none-any.whl", hash = "sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb"},
+    {file = "fonttools-4.38.0.zip", hash = "sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1"},
+]
 
 [package.extras]
 all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=14.0.0)", "xattr", "zopfli (>=0.1.4)"]
@@ -489,16 +821,20 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "furo"
-version = "2022.9.29"
+version = "2022.12.7"
 description = "A clean customisable Sphinx documentation theme."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "furo-2022.12.7-py3-none-any.whl", hash = "sha256:7cb76c12a25ef65db85ab0743df907573d03027a33631f17d267e598ebb191f7"},
+    {file = "furo-2022.12.7.tar.gz", hash = "sha256:d8008f8efbe7587a97ba533c8b2df1f9c21ee9b3e5cad0d27f61193d38b1a986"},
+]
 
 [package.dependencies]
 beautifulsoup4 = "*"
 pygments = ">=2.7"
-sphinx = ">=4.0,<6.0"
+sphinx = ">=5.0,<7.0"
 sphinx-basic-ng = "*"
 
 [[package]]
@@ -508,6 +844,9 @@ description = "Clean single-source support for Python 3 and 2"
 category = "main"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "future-0.18.2.tar.gz", hash = "sha256:b1bead90b70cf6ec3f0710ae53a525360fa360d306a86583adc6bf83a4db537d"},
+]
 
 [[package]]
 name = "glmnet"
@@ -516,6 +855,15 @@ description = "Python wrapper for glmnet"
 category = "main"
 optional = false
 python-versions = ">=3.6.*"
+files = [
+    {file = "glmnet-2.2.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:5cd722447ef285fa77897f788ba6971cc3edd4d6d308e81549bf2c7db076815a"},
+    {file = "glmnet-2.2.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:1c93e9b53728eba6a24eb852674c048a16efd35a96894e2e5847fc3d8b15ff04"},
+    {file = "glmnet-2.2.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:def0820c5a9b6ba50a325f52c430b6df5e2eade52f14dce8d4642ce0a1c83b6f"},
+    {file = "glmnet-2.2.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:aa43a8b43b1713c0615ebc6b44558592ec61cb39df0c17c752066ed9501550f3"},
+    {file = "glmnet-2.2.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:383d4dcd52d135e75c507e04de30116380328696c02f3cbcd6fafd6bc24db82a"},
+    {file = "glmnet-2.2.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:e94c17af595055c64b70be4b7389ea9ba636cae4cb47933d32ba247d76c8bd7d"},
+    {file = "glmnet-2.2.1.tar.gz", hash = "sha256:3222bca2e901b3f60c2dc22df7aeba6bb9c7b6451b44cbbe1b91084b66f14481"},
+]
 
 [package.dependencies]
 joblib = ">=0.14.1"
@@ -530,6 +878,10 @@ description = "Distributed Asynchronous Hyperparameter Optimization"
 category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "hyperopt-0.2.7-py2.py3-none-any.whl", hash = "sha256:f3046d91fe4167dbf104365016596856b2524a609d22f047a066fc1ac796427c"},
+    {file = "hyperopt-0.2.7.tar.gz", hash = "sha256:1bf89ae58050bbd32c7307199046117feee245c2fd9ab6255c7308522b7ca149"},
+]
 
 [package.dependencies]
 cloudpickle = "*"
@@ -554,6 +906,10 @@ description = "Internationalized Domain Names in Applications (IDNA)"
 category = "dev"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
+    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+]
 
 [[package]]
 name = "imagesize"
@@ -562,30 +918,42 @@ description = "Getting image size from png/jpeg/jpeg2000/gif file"
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
+    {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
+]
 
 [[package]]
 name = "importlib-metadata"
-version = "5.1.0"
+version = "5.2.0"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "importlib_metadata-5.2.0-py3-none-any.whl", hash = "sha256:0eafa39ba42bf225fc00e67f701d71f85aead9f878569caf13c3724f704b970f"},
+    {file = "importlib_metadata-5.2.0.tar.gz", hash = "sha256:404d48d62bba0b7a77ff9d405efd91501bef2e67ff4ace0bed40a0cf28c3c7cd"},
+]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
 testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
 
 [[package]]
 name = "importlib-resources"
-version = "5.10.0"
+version = "5.10.1"
 description = "Read resources from Python packages"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "importlib_resources-5.10.1-py3-none-any.whl", hash = "sha256:c09b067d82e72c66f4f8eb12332f5efbebc9b007c0b6c40818108c9870adc363"},
+    {file = "importlib_resources-5.10.1.tar.gz", hash = "sha256:32bb095bda29741f6ef0e5278c42df98d135391bee5f932841efc0041f748dc3"},
+]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
@@ -601,17 +969,26 @@ description = "iniconfig: brain-dead simple config-ini parsing"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"},
+    {file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
+]
 
 [[package]]
 name = "ipykernel"
-version = "6.17.1"
+version = "6.20.0"
 description = "IPython Kernel for Jupyter"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
+files = [
+    {file = "ipykernel-6.20.0-py3-none-any.whl", hash = "sha256:7614640d703f052fc92e719b1c397a5e62dfdee8d946e136edbf016805475c01"},
+    {file = "ipykernel-6.20.0.tar.gz", hash = "sha256:7dfafaec645300710c41479c0b0bdc13a9ea6639bee6e3ad042757674e9a9a29"},
+]
 
 [package.dependencies]
 appnope = {version = "*", markers = "platform_system == \"Darwin\""}
+comm = ">=0.1.1"
 debugpy = ">=1.0"
 ipython = ">=7.23.1"
 jupyter-client = ">=6.1.12"
@@ -621,19 +998,26 @@ packaging = "*"
 psutil = "*"
 pyzmq = ">=17"
 tornado = ">=6.1"
-traitlets = ">=5.1.0"
+traitlets = ">=5.4.0"
 
 [package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-cov", "pytest-timeout"]
+cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
+pyqt5 = ["pyqt5"]
+pyside6 = ["pyside6"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
-version = "8.6.0"
+version = "8.7.0"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
 python-versions = ">=3.8"
+files = [
+    {file = "ipython-8.7.0-py3-none-any.whl", hash = "sha256:352042ddcb019f7c04e48171b4dd78e4c4bb67bf97030d170e154aac42b656d9"},
+    {file = "ipython-8.7.0.tar.gz", hash = "sha256:882899fe78d5417a0aa07f995db298fa28b58faeba2112d2e3a4c95fe14bb738"},
+]
 
 [package.dependencies]
 appnope = {version = "*", markers = "sys_platform == \"darwin\""}
@@ -644,7 +1028,7 @@ jedi = ">=0.16"
 matplotlib-inline = "*"
 pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
 pickleshare = "*"
-prompt-toolkit = ">3.0.1,<3.1.0"
+prompt-toolkit = ">=3.0.11,<3.1.0"
 pygments = ">=2.4.0"
 stack-data = "*"
 traitlets = ">=5"
@@ -660,21 +1044,25 @@ notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
 test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test_extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
 
 [[package]]
 name = "isort"
-version = "5.10.1"
+version = "5.11.4"
 description = "A Python utility / library to sort Python imports."
 category = "dev"
 optional = false
-python-versions = ">=3.6.1,<4.0"
+python-versions = ">=3.7.0"
+files = [
+    {file = "isort-5.11.4-py3-none-any.whl", hash = "sha256:c033fd0edb91000a7f09527fe5c75321878f98322a77ddcc81adbd83724afb7b"},
+    {file = "isort-5.11.4.tar.gz", hash = "sha256:6db30c5ded9815d813932c04c2f85a360bcdd35fed496f4d8f35495ef0a261b6"},
+]
 
 [package.extras]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
-pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
+pipfile-deprecated-finder = ["pipreqs", "requirementslib"]
 plugins = ["setuptools"]
-requirements_deprecated_finder = ["pip-api", "pipreqs"]
+requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jedi"
@@ -683,6 +1071,10 @@ description = "An autocompletion tool for Python that can be used for text edito
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "jedi-0.18.2-py2.py3-none-any.whl", hash = "sha256:203c1fd9d969ab8f2119ec0a3342e0b49910045abe6af0a3ae83a5764d54639e"},
+    {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"},
+]
 
 [package.dependencies]
 parso = ">=0.8.0,<0.9.0"
@@ -693,12 +1085,16 @@ qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
 testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
-name = "Jinja2"
+name = "jinja2"
 version = "3.1.2"
 description = "A very fast and expressive template engine."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
+    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+]
 
 [package.dependencies]
 MarkupSafe = ">=2.0"
@@ -713,14 +1109,22 @@ description = "Lightweight pipelining with Python functions"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"},
+    {file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"},
+]
 
 [[package]]
 name = "jsonschema"
-version = "4.17.1"
+version = "4.17.3"
 description = "An implementation of JSON Schema validation for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "jsonschema-4.17.3-py3-none-any.whl", hash = "sha256:a870ad254da1a8ca84b6a2905cac29d265f805acc57af304784962a2aa6508f6"},
+    {file = "jsonschema-4.17.3.tar.gz", hash = "sha256:0f864437ab8b6076ba6707453ef8f98a6a0d512a80e93f8abdb676f737ecb60d"},
+]
 
 [package.dependencies]
 attrs = ">=17.4.0"
@@ -739,6 +1143,10 @@ description = "A simple extension for Jupyter Notebook and Jupyter Lab to beauti
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "jupyter-black-0.3.3.tar.gz", hash = "sha256:ddc72d9c79515872dc833bef5dbb32f2611679bf92996c1426f339cc87197975"},
+    {file = "jupyter_black-0.3.3-py3-none-any.whl", hash = "sha256:0b24b7949e8b8dbe6ca7c60818f68bebb263810cbc65d44f30e3c12c7c9f7581"},
+]
 
 [package.dependencies]
 black = ">=21.9b0"
@@ -751,11 +1159,15 @@ test = ["flake8 (>=3.9.2)", "flake8-docstrings (>=1.6.0)", "flake8-import-order
 
 [[package]]
 name = "jupyter-client"
-version = "7.4.7"
+version = "7.4.8"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "jupyter_client-7.4.8-py3-none-any.whl", hash = "sha256:d4a67ae86ee014bcb96bd8190714f6af921f2b0f52f4208b086aa5acfd9f8d65"},
+    {file = "jupyter_client-7.4.8.tar.gz", hash = "sha256:109a3c33b62a9cf65aa8325850a0999a795fac155d9de4f7555aef5f310ee35a"},
+]
 
 [package.dependencies]
 entrypoints = "*"
@@ -772,27 +1184,36 @@ test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-com
 
 [[package]]
 name = "jupyter-core"
-version = "5.0.0"
+version = "5.1.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "dev"
 optional = false
 python-versions = ">=3.8"
+files = [
+    {file = "jupyter_core-5.1.1-py3-none-any.whl", hash = "sha256:f1038179d0f179b0e92c8fa2289c012b29dafdc9484b41821079f1a496f5a0f2"},
+    {file = "jupyter_core-5.1.1.tar.gz", hash = "sha256:f342d29eb6edb06f8dffa69adea987b3a9ee2b6702338a8cb6911516ea0b432d"},
+]
 
 [package.dependencies]
-platformdirs = "*"
+platformdirs = ">=2.5"
 pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
-traitlets = "*"
+traitlets = ">=5.3"
 
 [package.extras]
+docs = ["myst-parser", "sphinxcontrib-github-alt", "traitlets"]
 test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupytext"
-version = "1.14.1"
+version = "1.14.4"
 description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
 category = "dev"
 optional = false
 python-versions = "~=3.6"
+files = [
+    {file = "jupytext-1.14.4-py3-none-any.whl", hash = "sha256:c5f5647112aa4ea4c61c31e48a216a4c49d315a0fc43d4f483529ed3b0b1a0d9"},
+    {file = "jupytext-1.14.4.tar.gz", hash = "sha256:4c09f1b8f837888dec11c1253e813b5cacdc20eecefcf2f9a0b870ae6bd44a65"},
+]
 
 [package.dependencies]
 markdown-it-py = ">=1.0.0,<3.0.0"
@@ -812,6 +1233,76 @@ description = "A fast implementation of the Cassowary constraint solver"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c79ebe8f3676a4c6630fd3f777f3cfecf9289666c84e775a67d1d358578dc2e3"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:abbe9fa13da955feb8202e215c4018f4bb57469b1b78c7a4c5c7b93001699938"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7577c1987baa3adc4b3c62c33bd1118c3ef5c8ddef36f0f2c950ae0b199e100d"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ad8285b01b0d4695102546b342b493b3ccc6781fc28c8c6a1bb63e95d22f09"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed58b8acf29798b036d347791141767ccf65eee7f26bde03a71c944449e53de"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a68b62a02953b9841730db7797422f983935aeefceb1679f0fc85cbfbd311c32"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-win32.whl", hash = "sha256:e92a513161077b53447160b9bd8f522edfbed4bd9759e4c18ab05d7ef7e49408"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fe20f63c9ecee44560d0e7f116b3a747a5d7203376abeea292ab3152334d004"},
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 python-versions = ">=3.7"
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 python-versions = ">=3.7"
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@@ -836,13 +1378,17 @@ description = "Python port of markdown-it. Markdown parsing, done right!"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
 mdurl = ">=0.1,<1.0"
 
 [package.extras]
 benchmarking = ["psutil", "pytest", "pytest-benchmark (>=3.2,<4.0)"]
-code_style = ["pre-commit (==2.6)"]
+code-style = ["pre-commit (==2.6)"]
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 plugins = ["mdit-py-plugins"]
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 testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
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 optional = false
 python-versions = ">=3.7"
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+    {file = "matplotlib-3.5.3.tar.gz", hash = "sha256:339cac48b80ddbc8bfd05daae0a3a73414651a8596904c2a881cfd1edb65f26c"},
+]
 
 [package.dependencies]
 cycler = ">=0.10"
@@ -884,6 +1509,10 @@ description = "Inline Matplotlib backend for Jupyter"
 category = "dev"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
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+]
 
 [package.dependencies]
 traitlets = "*"
@@ -895,20 +1524,28 @@ description = "McCabe checker, plugin for flake8"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
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+]
 
 [[package]]
 name = "mdit-py-plugins"
-version = "0.3.1"
+version = "0.3.3"
 description = "Collection of plugins for markdown-it-py"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "mdit-py-plugins-0.3.3.tar.gz", hash = "sha256:5cfd7e7ac582a594e23ba6546a2f406e94e42eb33ae596d0734781261c251260"},
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+]
 
 [package.dependencies]
 markdown-it-py = ">=1.0.0,<3.0.0"
 
 [package.extras]
-code_style = ["pre-commit"]
+code-style = ["pre-commit"]
 rtd = ["attrs", "myst-parser (>=0.16.1,<0.17.0)", "sphinx-book-theme (>=0.1.0,<0.2.0)"]
 testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
@@ -919,6 +1556,10 @@ description = "Markdown URL utilities"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
+    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
+]
 
 [[package]]
 name = "mock"
@@ -927,6 +1568,10 @@ description = "Rolling backport of unittest.mock for all Pythons"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "mock-4.0.3-py3-none-any.whl", hash = "sha256:122fcb64ee37cfad5b3f48d7a7d51875d7031aaf3d8be7c42e2bee25044eee62"},
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+]
 
 [package.extras]
 build = ["blurb", "twine", "wheel"]
@@ -940,12 +1585,44 @@ description = "Optional static typing for Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
-
-[package.dependencies]
-mypy-extensions = ">=0.4.3"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=3.10"
-
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+    {file = "mypy-0.991.tar.gz", hash = "sha256:3c0165ba8f354a6d9881809ef29f1a9318a236a6d81c690094c5df32107bde06"},
+]
+
+[package.dependencies]
+mypy-extensions = ">=0.4.3"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = ">=3.10"
+
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 install-types = ["pip"]
@@ -959,6 +1636,10 @@ description = "Experimental type system extensions for programs checked with the
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "mypy_extensions-0.4.3-py2.py3-none-any.whl", hash = "sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d"},
+    {file = "mypy_extensions-0.4.3.tar.gz", hash = "sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8"},
+]
 
 [[package]]
 name = "myst-parser"
@@ -967,6 +1648,10 @@ description = "An extended commonmark compliant parser, with bridges to docutils
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "myst-parser-0.18.1.tar.gz", hash = "sha256:79317f4bb2c13053dd6e64f9da1ba1da6cd9c40c8a430c447a7b146a594c246d"},
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+]
 
 [package.dependencies]
 docutils = ">=0.15,<0.20"
@@ -978,18 +1663,22 @@ sphinx = ">=4,<6"
 typing-extensions = "*"
 
 [package.extras]
-code_style = ["pre-commit (>=2.12,<3.0)"]
+code-style = ["pre-commit (>=2.12,<3.0)"]
 linkify = ["linkify-it-py (>=1.0,<2.0)"]
 rtd = ["ipython", "sphinx-book-theme", "sphinx-design", "sphinxcontrib.mermaid (>=0.7.1,<0.8.0)", "sphinxext-opengraph (>=0.6.3,<0.7.0)", "sphinxext-rediraffe (>=0.2.7,<0.3.0)"]
 testing = ["beautifulsoup4", "coverage[toml]", "pytest (>=6,<7)", "pytest-cov", "pytest-param-files (>=0.3.4,<0.4.0)", "pytest-regressions", "sphinx (<5.2)", "sphinx-pytest"]
 
 [[package]]
 name = "nbformat"
-version = "5.7.0"
+version = "5.7.1"
 description = "The Jupyter Notebook format"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+    {file = "nbformat-5.7.1.tar.gz", hash = "sha256:3810a0130453ed031970521d20989b8a592f3c2e73283a8280ae34ae1f75b3f8"},
+]
 
 [package.dependencies]
 fastjsonschema = "*"
@@ -998,7 +1687,8 @@ jupyter-core = "*"
 traitlets = ">=5.1"
 
 [package.extras]
-test = ["check-manifest", "pep440", "pre-commit", "pytest", "testpath"]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt"]
+test = ["pep440", "pre-commit", "pytest", "testpath"]
 
 [[package]]
 name = "nest-asyncio"
@@ -1007,6 +1697,10 @@ description = "Patch asyncio to allow nested event loops"
 category = "dev"
 optional = false
 python-versions = ">=3.5"
+files = [
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+]
 
 [[package]]
 name = "networkx"
@@ -1015,6 +1709,10 @@ description = "Python package for creating and manipulating graphs and networks"
 category = "main"
 optional = false
 python-versions = ">=3.8"
+files = [
+    {file = "networkx-2.8.8-py3-none-any.whl", hash = "sha256:e435dfa75b1d7195c7b8378c3859f0445cd88c6b0375c181ed66823a9ceb7524"},
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+]
 
 [package.extras]
 default = ["matplotlib (>=3.4)", "numpy (>=1.19)", "pandas (>=1.3)", "scipy (>=1.8)"]
@@ -1030,6 +1728,36 @@ description = "compiling Python code using LLVM"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
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 category = "main"
 optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
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 name = "pandas"
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 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
 numpy = [
@@ -1077,11 +1859,15 @@ test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
 
 [[package]]
 name = "pandas-stubs"
-version = "1.5.2.221124"
+version = "1.5.2.221213"
 description = "Type annotations for pandas"
 category = "dev"
 optional = false
 python-versions = ">=3.8,<3.12"
+files = [
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+]
 
 [package.dependencies]
 types-pytz = ">=2022.1.1"
@@ -1093,6 +1879,10 @@ description = "A Python Parser"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
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 [package.extras]
 qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
@@ -1105,14 +1895,22 @@ description = "Bring colors to your terminal."
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
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 [[package]]
 name = "pathspec"
-version = "0.10.2"
+version = "0.10.3"
 description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
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 [[package]]
 name = "patsy"
@@ -1121,6 +1919,10 @@ description = "A Python package for describing statistical models and for buildi
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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 [package.dependencies]
 numpy = ">=1.4"
@@ -1131,14 +1933,18 @@ test = ["pytest", "pytest-cov", "scipy"]
 
 [[package]]
 name = "pep8-naming"
-version = "0.13.2"
+version = "0.13.3"
 description = "Check PEP-8 naming conventions, plugin for flake8"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
-flake8 = ">=3.9.1"
+flake8 = ">=5.0.0"
 
 [[package]]
 name = "pexpect"
@@ -1147,6 +1953,10 @@ description = "Pexpect allows easy control of interactive console applications."
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
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 [package.dependencies]
 ptyprocess = ">=0.5"
@@ -1158,14 +1968,81 @@ description = "Tiny 'shelve'-like database with concurrency support"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
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-name = "Pillow"
+name = "pillow"
 version = "9.3.0"
 description = "Python Imaging Library (Fork)"
 category = "main"
 optional = false
 python-versions = ">=3.7"
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@@ -1178,22 +2055,34 @@ description = "The PyPA recommended tool for installing Python packages."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+]
 
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-name = "pkgutil_resolve_name"
+name = "pkgutil-resolve-name"
 version = "1.3.10"
 description = "Resolve a name to an object."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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 [[package]]
 name = "platformdirs"
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+version = "2.6.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
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 docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.4)"]
@@ -1206,6 +2095,10 @@ description = "plugin and hook calling mechanisms for python"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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+]
 
 [package.extras]
 dev = ["pre-commit", "tox"]
@@ -1218,6 +2111,10 @@ description = "A task runner that works well with poetry."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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+]
 
 [package.dependencies]
 pastel = ">=0.2.1,<0.3.0"
@@ -1228,11 +2125,15 @@ poetry-plugin = ["poetry (>=1.0,<2.0)"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.33"
+version = "3.0.36"
 description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
 python-versions = ">=3.6.2"
+files = [
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+]
 
 [package.dependencies]
 wcwidth = "*"
@@ -1244,6 +2145,22 @@ description = "Cross-platform lib for process and system monitoring in Python."
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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+]
 
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
@@ -1255,6 +2172,10 @@ description = "Run a subprocess in a pseudo terminal"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
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+]
 
 [[package]]
 name = "pure-eval"
@@ -1263,6 +2184,10 @@ description = "Safely evaluate AST nodes without side effects"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
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+    {file = "pure_eval-0.2.2.tar.gz", hash = "sha256:2b45320af6dfaa1750f543d714b6d1c520a1688dec6fd24d339063ce0aaa9ac3"},
+]
 
 [package.extras]
 tests = ["pytest"]
@@ -1274,14 +2199,22 @@ description = "library with cross-python path, ini-parsing, io, code, log facili
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
-[[package]]
+files = [
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+]
+
+[[package]]
 name = "py4j"
 version = "0.10.9.7"
 description = "Enables Python programs to dynamically access arbitrary Java objects"
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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+]
 
 [[package]]
 name = "pycodestyle"
@@ -1290,6 +2223,10 @@ description = "Python style guide checker"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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+]
 
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 name = "pycparser"
@@ -1298,6 +2235,10 @@ description = "C parser in Python"
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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+]
 
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 name = "pyflakes"
@@ -1306,14 +2247,22 @@ description = "passive checker of Python programs"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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-name = "Pygments"
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 description = "Pygments is a syntax highlighting package written in Python."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
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@@ -1325,6 +2274,10 @@ description = "pyparsing module - Classes and methods to define and execute pars
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 python-versions = ">=3.6.8"
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 python-versions = ">=3.7"
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 name = "pytest"
@@ -1344,6 +2321,10 @@ description = "pytest: simple powerful testing with Python"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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 attrs = ">=19.2.0"
@@ -1364,6 +2345,10 @@ description = "Pytest plugin for measuring coverage."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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+]
 
 [package.dependencies]
 coverage = {version = ">=5.2.1", extras = ["toml"]}
@@ -1379,6 +2364,10 @@ description = "Thin-wrapper around the mock package for easier use with pytest"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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 pytest = ">=5.0"
@@ -1393,17 +2382,25 @@ description = "Extensions to the standard Python datetime module"
 category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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 [package.dependencies]
 six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2022.6"
+version = "2022.7"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
 python-versions = "*"
+files = [
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+]
 
 [[package]]
 name = "pywin32"
@@ -1412,14 +2409,65 @@ description = "Python for Window Extensions"
 category = "dev"
 optional = false
 python-versions = "*"
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 threadpoolctl = ">=2.0.0"
 
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 name = "scipy"
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 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
 numpy = ">=1.18.5,<1.26.0"
@@ -1494,6 +2668,10 @@ description = "Statistical data visualization"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
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+]
 
 [package.dependencies]
 matplotlib = ">=3.1,<3.6.1 || >3.6.1"
@@ -1512,6 +2690,10 @@ description = "Easily download, build, install, upgrade, and uninstall Python pa
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
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@@ -1525,6 +2707,10 @@ description = "the blessed package to manage your versions by scm tags"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
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 [package.dependencies]
 packaging = ">=20.0"
@@ -1542,6 +2728,34 @@ description = "A unified approach to explain the output of any machine learning
 category = "main"
 optional = false
 python-versions = "*"
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 [package.dependencies]
 cloudpickle = "*"
@@ -1568,6 +2782,10 @@ description = "Python 2 and 3 compatibility utilities"
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
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+]
 
 [[package]]
 name = "slicer"
@@ -1576,6 +2794,10 @@ description = "A small package for big slicing."
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
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+]
 
 [[package]]
 name = "snowballstemmer"
@@ -1584,6 +2806,10 @@ description = "This package provides 29 stemmers for 28 languages generated from
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
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+]
 
 [[package]]
 name = "soupsieve"
@@ -1592,14 +2818,22 @@ description = "A modern CSS selector implementation for Beautiful Soup."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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+]
 
 [[package]]
-name = "Sphinx"
+name = "sphinx"
 version = "5.3.0"
 description = "Python documentation generator"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
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@@ -1632,6 +2866,10 @@ description = "Sphinx API documentation generator"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
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 astroid = ">=2.7"
@@ -1652,6 +2890,10 @@ description = "A modern skeleton for Sphinx themes."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
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 sphinx = ">=4.0"
@@ -1660,24 +2902,28 @@ sphinx = ">=4.0"
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-name = "sphinx_design"
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 version = "0.3.0"
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 category = "dev"
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@@ -1686,6 +2932,10 @@ description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple
 category = "dev"
 optional = false
 python-versions = ">=3.5"
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 lint = ["docutils-stubs", "flake8", "mypy"]
@@ -1698,6 +2948,10 @@ description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp
 category = "dev"
 optional = false
 python-versions = ">=3.5"
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@@ -1710,6 +2964,10 @@ description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML h
 category = "dev"
 optional = false
 python-versions = ">=3.6"
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@@ -1722,6 +2980,10 @@ description = "A sphinx extension which renders display math in HTML via JavaScr
 category = "dev"
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 python-versions = ">=3.5"
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 python-versions = ">=3.5"
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 python-versions = ">=3.5"
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 numpy = ">=1.17"
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 python-versions = ">=3.7"
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+]
 
 [package.dependencies]
 numpy = {version = ">=1.17", markers = "python_version != \"3.10\" or platform_system != \"Windows\" or platform_python_implementation == \"PyPy\""}
@@ -1833,6 +3186,33 @@ description = "Statistical computations and models for Python"
 category = "main"
 optional = false
 python-versions = ">=3.7"
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+]
 
 [package.dependencies]
 numpy = [
@@ -1856,6 +3236,10 @@ description = "threadpoolctl"
 category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"},
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+]
 
 [[package]]
 name = "tokenize-rt"
@@ -1864,6 +3248,10 @@ description = "A wrapper around the stdlib `tokenize` which roundtrips."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "tokenize_rt-5.0.0-py2.py3-none-any.whl", hash = "sha256:c67772c662c6b3dc65edf66808577968fb10badfc2042e3027196bed4daf9e5a"},
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+]
 
 [[package]]
 name = "toml"
@@ -1872,6 +3260,10 @@ description = "Python Library for Tom's Obvious, Minimal Language"
 category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
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+]
 
 [[package]]
 name = "tomli"
@@ -1880,6 +3272,10 @@ description = "A lil' TOML parser"
 category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
 
 [[package]]
 name = "tornado"
@@ -1888,14 +3284,31 @@ description = "Tornado is a Python web framework and asynchronous networking lib
 category = "dev"
 optional = false
 python-versions = ">= 3.7"
+files = [
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+    {file = "tornado-6.2.tar.gz", hash = "sha256:9b630419bde84ec666bfd7ea0a4cb2a8a651c2d5cccdbdd1972a0c859dfc3c13"},
+]
 
 [[package]]
 name = "tox"
-version = "3.27.1"
+version = "3.28.0"
 description = "tox is a generic virtualenv management and test command line tool"
 category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+files = [
+    {file = "tox-3.28.0-py2.py3-none-any.whl", hash = "sha256:57b5ab7e8bb3074edc3c0c0b4b192a4f3799d3723b2c5b76f1fa9f2d40316eea"},
+    {file = "tox-3.28.0.tar.gz", hash = "sha256:d0d28f3fe6d6d7195c27f8b054c3e99d5451952b54abdae673b71609a581f640"},
+]
 
 [package.dependencies]
 colorama = {version = ">=0.4.1", markers = "platform_system == \"Windows\""}
@@ -1918,6 +3331,10 @@ description = "Fast, Extensible Progress Meter"
 category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+files = [
+    {file = "tqdm-4.64.1-py2.py3-none-any.whl", hash = "sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1"},
+    {file = "tqdm-4.64.1.tar.gz", hash = "sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4"},
+]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
@@ -1930,23 +3347,31 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.5.0"
-description = ""
+version = "5.8.0"
+description = "Traitlets Python configuration system"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "traitlets-5.8.0-py3-none-any.whl", hash = "sha256:c864831efa0ba6576d09b44884b34e41defc18c0d7e720b4a2d6698c842cab3e"},
+    {file = "traitlets-5.8.0.tar.gz", hash = "sha256:6cc57d6dc28c85d5365961726ffd19b538739347749e13ebe34e03323a0e8f84"},
+]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["pre-commit", "pytest"]
+test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
 
 [[package]]
 name = "types-pytz"
-version = "2022.6.0.1"
+version = "2022.7.0.0"
 description = "Typing stubs for pytz"
 category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "types-pytz-2022.7.0.0.tar.gz", hash = "sha256:4f20c2953b3a3a0587e94489ec4c9e02c3d3aedb9ba5cd7e796e12f4cfa7027e"},
+    {file = "types_pytz-2022.7.0.0-py3-none-any.whl", hash = "sha256:1509f182f686ab76e9a8234f22b00b8f50d239974db0cf924b7ae8674bb31a6f"},
+]
 
 [[package]]
 name = "typing-extensions"
@@ -1955,14 +3380,22 @@ description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
+]
 
 [[package]]
-name = "Unidecode"
+name = "unidecode"
 version = "1.3.6"
 description = "ASCII transliterations of Unicode text"
 category = "dev"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "Unidecode-1.3.6-py3-none-any.whl", hash = "sha256:547d7c479e4f377b430dd91ac1275d593308dce0fc464fb2ab7d41f82ec653be"},
+    {file = "Unidecode-1.3.6.tar.gz", hash = "sha256:fed09cf0be8cf415b391642c2a5addfc72194407caee4f98719e40ec2a72b830"},
+]
 
 [[package]]
 name = "urllib3"
@@ -1971,6 +3404,10 @@ description = "HTTP library with thread-safe connection pooling, file post, and
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+files = [
+    {file = "urllib3-1.26.13-py2.py3-none-any.whl", hash = "sha256:47cc05d99aaa09c9e72ed5809b60e7ba354e64b59c9c173ac3018642d8bb41fc"},
+    {file = "urllib3-1.26.13.tar.gz", hash = "sha256:c083dd0dce68dbfbe1129d5271cb90f9447dea7d52097c6e0126120c521ddea8"},
+]
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
@@ -1979,11 +3416,15 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.16.7"
+version = "20.17.1"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "virtualenv-20.17.1-py3-none-any.whl", hash = "sha256:ce3b1684d6e1a20a3e5ed36795a97dfc6af29bc3970ca8dab93e11ac6094b3c4"},
+    {file = "virtualenv-20.17.1.tar.gz", hash = "sha256:f8b927684efc6f1cc206c9db297a570ab9ad0e51c16fa9e45487d36d1905c058"},
+]
 
 [package.dependencies]
 distlib = ">=0.3.6,<1"
@@ -1996,11 +3437,41 @@ testing = ["coverage (>=6.2)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7
 
 [[package]]
 name = "watchdog"
-version = "2.1.9"
+version = "2.2.0"
 description = "Filesystem events monitoring"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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diff --git a/pyproject.toml b/pyproject.toml
index 199e63d..f12f024 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -78,7 +78,7 @@ matplotlib = "^3.5,<3.6"
 seaborn = "^0.12"
 
 
-[tool.poetry.dev-dependencies]
+[tool.poetry.group.dev.dependencies]
 
 # --- package-management ---
 pip = "^22.3"
@@ -87,12 +87,12 @@ pip = "^22.3"
 poethepoet = "^0.16"
 
 # --- testenv-management ---
-tox = "^3.27"
+tox = "^3.28"
 
 # --- formatting ---
-add-trailing-comma = "^2.2"
-isort = "^5.10"
-black = "^22.10"
+add-trailing-comma = "^2.4"
+isort = "^5.11"
+black = "^22.12"
 jupyter-black = "^0.3"
 
 # --- linting ---
@@ -129,15 +129,17 @@ myst-parser = "^0.18"
 furo = "^2022.9"
 
 # --- jupyter ---
-ipykernel = "^6.15"
+ipykernel = "^6.20"
 jupytext = "^1.14"
 
 # --- monitoring ---
 watchdog = "^2.1"
 
+# --- image manipulation ---
+pillow = "^9.3.0"
 
 [build-system]
-requires = ["poetry-core>=1.3.2"]
+requires = ["poetry-core>=1.4.0"]
 build-backend = "poetry.core.masonry.api"
 
 
diff --git a/src/slickml/base/_estimator.py b/src/slickml/base/_estimator.py
index c869ae8..de11189 100644
--- a/src/slickml/base/_estimator.py
+++ b/src/slickml/base/_estimator.py
@@ -133,7 +133,7 @@ def fit(
         -------
         None
         """
-        ...
+        ...  # pragma: no cover
 
     # TODO(amir): check the `y_train` type; maybe we need to have `list_to_array()` in utils?
     def _dtrain(
diff --git a/src/slickml/base/_metrics.py b/src/slickml/base/_metrics.py
index cb83a53..ab1d947 100644
--- a/src/slickml/base/_metrics.py
+++ b/src/slickml/base/_metrics.py
@@ -24,7 +24,7 @@ def plot(self) -> Figure:
         -------
         Figure
         """
-        ...
+        ...  # pragma: no cover
 
     def get_metrics(
         self,
@@ -41,4 +41,4 @@ def get_metrics(
         -------
         Union[pd.DataFrame, Dict[str, Optional[float]]]
         """
-        ...
+        ...  # pragma: no cover
diff --git a/src/slickml/metrics/_classification.py b/src/slickml/metrics/_classification.py
index 8733098..d77f8a0 100644
--- a/src/slickml/metrics/_classification.py
+++ b/src/slickml/metrics/_classification.py
@@ -4,7 +4,7 @@
 import numpy as np
 import pandas as pd
 import seaborn as sns
-from IPython.core.display import display
+from IPython.display import display
 from matplotlib.figure import Figure
 from sklearn.metrics import (
     accuracy_score,
diff --git a/src/slickml/metrics/_regression.py b/src/slickml/metrics/_regression.py
index f9fd748..ef6c0a9 100644
--- a/src/slickml/metrics/_regression.py
+++ b/src/slickml/metrics/_regression.py
@@ -5,7 +5,7 @@
 import pandas as pd
 import scipy as scp
 import seaborn as sns
-from IPython.core.display import display
+from IPython.display import display
 from matplotlib.figure import Figure
 from sklearn.metrics import (
     explained_variance_score,
diff --git a/src/slickml/visualization/_glmnet.py b/src/slickml/visualization/_glmnet.py
index 3ec6892..84a1789 100644
--- a/src/slickml/visualization/_glmnet.py
+++ b/src/slickml/visualization/_glmnet.py
@@ -210,7 +210,6 @@ def plot_glmnet_cv_results(
         var_name="return_fig",
         dtypes=bool,
     )
-    # TODO(amir): double check this
     if save_path:
         check_var(
             save_path,
@@ -447,7 +446,6 @@ def plot_glmnet_coeff_path(
         var_name="return_fig",
         dtypes=bool,
     )
-    # TODO(amir): double check this
     if save_path:
         check_var(
             save_path,
diff --git a/src/slickml/visualization/_metrics.py b/src/slickml/visualization/_metrics.py
index 0ca2f54..278f7fd 100644
--- a/src/slickml/visualization/_metrics.py
+++ b/src/slickml/visualization/_metrics.py
@@ -63,7 +63,6 @@ def plot_binary_classification_metrics(
         var_name="return_fig",
         dtypes=bool,
     )
-    # TODO(amir): double check this
     if save_path:
         check_var(
             save_path,
@@ -403,7 +402,6 @@ def plot_regression_metrics(
         var_name="return_fig",
         dtypes=bool,
     )
-    # TODO(amir): double check this
     if save_path:
         check_var(
             save_path,
diff --git a/src/slickml/visualization/_xgboost.py b/src/slickml/visualization/_xgboost.py
index e4cc0c0..a056077 100644
--- a/src/slickml/visualization/_xgboost.py
+++ b/src/slickml/visualization/_xgboost.py
@@ -146,7 +146,6 @@ def plot_xgb_feature_importance(
         var_name="return_fig",
         dtypes=bool,
     )
-    # TODO(amir): double check this
     if save_path:
         check_var(
             save_path,
@@ -337,7 +336,6 @@ def plot_xgb_cv_results(
         var_name="test_std_color",
         dtypes=str,
     )
-    # TODO(amir): double check this
     if save_path:
         check_var(
             save_path,
diff --git a/tests/conftest.py b/tests/conftest.py
index e2faedb..c6bacf8 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,17 +1,41 @@
 import importlib.resources as pkg_resources
 import json
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Optional, Tuple, Union
 
 import numpy as np
+import numpy.testing as npt
 import pandas as pd
 import pytest
-from pytest import CaptureFixture, FixtureRequest
+from assertpy import assert_that
+from PIL import Image
+from PIL.ImageFile import ImageFile
+from PIL.PngImagePlugin import PngImageFile
+from pytest import CaptureFixture, FixtureRequest, TempPathFactory
 from scipy.sparse import csr_matrix
 from sklearn.model_selection import train_test_split
 
 from tests import resources
 
 
+@pytest.fixture(scope="session")
+def figure_path(tmp_path_factory: TempPathFactory) -> Path:
+    """Returns a temporary path to save figures.
+
+    Parameters
+    ----------
+    tmp_path_factory : TempPathFactory
+        Pytest's temporary path factory
+
+    Returns
+    -------
+    Path
+    """
+    path = tmp_path_factory.mktemp("results")
+
+    return path.absolute()
+
+
 @pytest.fixture(scope="session")
 def clf_train_test_x_y(
     request: FixtureRequest,
@@ -356,3 +380,39 @@ def _dummy_sparse_matrix() -> csr_matrix:
         shape=(3, 3),
         dtype=np.float64,
     )
+
+
+def _validate_figure_type_and_size(
+    path: Path,
+    expected_size: Tuple[int, int],
+    expected_type: ImageFile = PngImageFile,
+) -> None:
+    """Validates exported figure path's type and size.
+
+    Parameters
+    ----------
+    path : Path
+        Temporary file path to save the figure
+
+    expected_size : Tuple[int, int]
+        Figure's size
+
+    expected_type : ImageFile
+        Figure's type, by default `PngImageFile` which cover `.png` files
+
+    Returns
+    -------
+    None
+    """
+    # TODO(amir): currently, the `PIL.Image()` is used to load the saved figures and this would end up
+    # different results per operating systems. Therefore, for now defining a `tolerance` range ~ 5%
+    # to get away with the errors. Ideally, we should be able to match the `exact` size
+    _IMAGE_SIZE_ERROR_TOLERANCE_ERROR = 0.05
+    with Image.open(path) as img:
+        assert_that(img).is_instance_of(expected_type)
+        assert_that(img.size).is_instance_of(tuple)
+        npt.assert_allclose(
+            actual=img.size,
+            desired=expected_size,
+            rtol=_IMAGE_SIZE_ERROR_TOLERANCE_ERROR,
+        )
diff --git a/tests/slickml/base/test_enum.py b/tests/slickml/base/test_enum.py
index 5c2f2c3..76c96f4 100644
--- a/tests/slickml/base/test_enum.py
+++ b/tests/slickml/base/test_enum.py
@@ -40,6 +40,10 @@ def test_extended_enum_instantiation__passes__with_default_values(self) -> None:
         assert_that(str(FooBarBazQux.BAR)).is_instance_of(str)
         assert_that(str(FooBarBazQux.BAZ)).is_instance_of(str)
         assert_that(str(FooBarBazQux.QUX)).is_instance_of(str)
+        assert_that(repr(FooBarBazQux.FOO)).is_instance_of(str)
+        assert_that(repr(FooBarBazQux.BAR)).is_instance_of(str)
+        assert_that(repr(FooBarBazQux.BAZ)).is_instance_of(str)
+        assert_that(repr(FooBarBazQux.QUX)).is_instance_of(str)
         assert_that(FooBarBazQux.names()).is_instance_of(list)
         assert_that(FooBarBazQux.names()).is_iterable()
         assert_that(FooBarBazQux.values()).is_instance_of(list)
diff --git a/tests/slickml/classification/test_glmnet.py b/tests/slickml/classification/test_glmnet.py
index 549950d..c4f94f7 100644
--- a/tests/slickml/classification/test_glmnet.py
+++ b/tests/slickml/classification/test_glmnet.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
@@ -9,7 +10,7 @@
 from matplotlib.figure import Figure
 
 from slickml.classification import GLMNetCVClassifier
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): add lolipop plot for coeff + unit-test
@@ -434,3 +435,77 @@ def test_glmnetcvclassifier_shap_plots__passes__with_valid_inputs(
         clf.plot_shap_summary(**summary_kwargs)
 
         assert_that(shap_waterfall_fig).is_instance_of(Figure)
+
+    @pytest.mark.parametrize(
+        ("clf_train_test_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["clf_train_test_x_y"],
+        ids=_ids,
+    )
+    def test_glmnetcvclassifier_plots__passes__with_valid_save_paths(
+        self,
+        clf_train_test_x_y: Tuple[pd.DataFrame, pd.DataFrame, np.ndarray, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates `GLMNetCVClassifier` saving plots passes with valid paths."""
+        X_train, X_test, y_train, y_test = clf_train_test_x_y
+        clf = GLMNetCVClassifier()
+        clf.fit(X_train, y_train)
+        _ = clf.predict_proba(X_test, y_test)
+        cv_results_fig_path = figure_path / "cv_results_fig.png"  # type: ignore
+        coeff_path_fig_path = figure_path / "coeff_path_fig.png"  # type: ignore
+        shap_waterfall_fig_path = figure_path / "shap_waterfall_fig.png"  # type: ignore
+        shap_summary_fig_path = figure_path / "shap_summary_fig.png"  # type: ignore
+
+        clf.plot_cv_results(
+            xlabel="foo",
+            ylabel="bar",
+            title="baz",
+            legend=True,
+            legendloc=2,
+            save_path=str(cv_results_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_coeff_path(
+            xlabel="foo",
+            ylabel="bar",
+            title="baz",
+            legend=True,
+            legendloc=2,
+            save_path=str(coeff_path_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_shap_waterfall(
+            save_path=str(shap_waterfall_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_shap_summary(
+            save_path=str(shap_summary_fig_path),
+            display_plot=False,
+        )
+
+        assert_that(cv_results_fig_path.parts[-1]).is_equal_to("cv_results_fig.png")
+        _validate_figure_type_and_size(
+            path=cv_results_fig_path,
+            expected_size=(1385, 930),
+        )
+        assert_that(coeff_path_fig_path.parts[-1]).is_equal_to("coeff_path_fig.png")
+        _validate_figure_type_and_size(
+            path=coeff_path_fig_path,
+            expected_size=(1627, 930),
+        )
+        assert_that(shap_waterfall_fig_path.parts[-1]).is_equal_to("shap_waterfall_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_waterfall_fig_path,
+            expected_size=(1375, 974),
+        )
+        assert_that(shap_summary_fig_path.parts[-1]).is_equal_to("shap_summary_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_summary_fig_path,
+            expected_size=(1474, 760),
+        )
diff --git a/tests/slickml/classification/test_xgboost.py b/tests/slickml/classification/test_xgboost.py
index 2219ef6..9c082b3 100644
--- a/tests/slickml/classification/test_xgboost.py
+++ b/tests/slickml/classification/test_xgboost.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
@@ -8,10 +9,11 @@
 import shap
 import xgboost as xgb
 from assertpy import assert_that
+from matplotlib import cm
 from matplotlib.figure import Figure
 
 from slickml.classification import XGBoostClassifier
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): Currently `SHAP` raises a lot of warnings. Please figure out a way to dump these warnings
@@ -388,6 +390,7 @@ def test_xgboostclassifier__passes__with_valid_inputs(
                     "title": "foo",
                     "feature_names": ["a", "b", "c", "d", "e", "f"],
                     "class_names": ["yes", "no"],
+                    "cmap": cm.RdYlGn,
                 },
             ),
             (
@@ -400,6 +403,7 @@ def test_xgboostclassifier__passes__with_valid_inputs(
                     "display_plot": False,
                     "color": None,
                     "plot_type": "bar",
+                    "cmap": cm.Blues_r,
                 },
             ),
         ],
@@ -417,8 +421,62 @@ def test_xgboostclassifier_shap_plots__passes__with_valid_inputs(
         clf = XGBoostClassifier()
         clf.fit(X_train, y_train)
         _ = clf.predict_proba(X_test, y_test)
+
         shap_waterfall_fig = clf.plot_shap_waterfall(**waterfall_kwargs)
         # TODO(amir): how can we test the figure object ?
         clf.plot_shap_summary(**summary_kwargs)
 
         assert_that(shap_waterfall_fig).is_instance_of(Figure)
+
+    @pytest.mark.parametrize(
+        ("clf_train_test_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["clf_train_test_x_y"],
+        ids=_ids,
+    )
+    def test_xgboostclassifier_plots__passes__with_valid_save_paths(
+        self,
+        clf_train_test_x_y: Tuple[pd.DataFrame, pd.DataFrame, np.ndarray, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates `XGBoostClassifier` saving plots passes with valid paths."""
+        X_train, X_test, y_train, y_test = clf_train_test_x_y
+        clf = XGBoostClassifier()
+        clf.fit(X_train, y_train)
+        _ = clf.predict_proba(X_test, y_test)
+        feature_importance_fig_path = figure_path / "feature_importance_fig.png"  # type: ignore
+        shap_waterfall_fig_path = figure_path / "shap_waterfall_fig.png"  # type: ignore
+        shap_summary_fig_path = figure_path / "shap_summary_fig.png"  # type: ignore
+
+        clf.plot_feature_importance(
+            save_path=str(feature_importance_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_shap_waterfall(
+            save_path=str(shap_waterfall_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_shap_summary(
+            save_path=str(shap_summary_fig_path),
+            display_plot=False,
+        )
+
+        assert_that(feature_importance_fig_path.parts[-1]).is_equal_to("feature_importance_fig.png")
+        _validate_figure_type_and_size(
+            path=feature_importance_fig_path,
+            expected_size=(1395, 943),
+        )
+        assert_that(shap_waterfall_fig_path.parts[-1]).is_equal_to("shap_waterfall_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_waterfall_fig_path,
+            expected_size=(1391, 974),
+        )
+        assert_that(shap_summary_fig_path.parts[-1]).is_equal_to("shap_summary_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_summary_fig_path,
+            expected_size=(1474, 760),
+        )
diff --git a/tests/slickml/classification/test_xgboostcv.py b/tests/slickml/classification/test_xgboostcv.py
index 8dd1be4..72eec15 100644
--- a/tests/slickml/classification/test_xgboostcv.py
+++ b/tests/slickml/classification/test_xgboostcv.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
@@ -11,7 +12,7 @@
 from matplotlib.figure import Figure
 
 from slickml.classification import XGBoostCVClassifier
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): Currently `SHAP` raises a lot of warnings. Please figure out a way to dump these warnings
@@ -501,5 +502,69 @@ def test_xgboostcvclassifier_shap_plots__passes__with_valid_inputs(
 
         assert_that(shap_waterfall_fig).is_instance_of(Figure)
 
+    @pytest.mark.parametrize(
+        ("clf_train_test_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["clf_train_test_x_y"],
+        ids=_ids,
+    )
+    def test_xgboostcvclassifier_plots__passes__with_valid_save_paths(
+        self,
+        clf_train_test_x_y: Tuple[pd.DataFrame, pd.DataFrame, np.ndarray, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates `XGBoostCVClassifier` saving plots passes with valid paths."""
+        X_train, X_test, y_train, y_test = clf_train_test_x_y
+        clf = XGBoostCVClassifier()
+        clf.fit(X_train, y_train)
+        _ = clf.predict_proba(X_test, y_test)
+        feature_importance_fig_path = figure_path / "feature_importance_fig.png"  # type: ignore
+        cv_results_fig_path = figure_path / "cv_results_fig.png"  # type: ignore
+        shap_waterfall_fig_path = figure_path / "shap_waterfall_fig.png"  # type: ignore
+        shap_summary_fig_path = figure_path / "shap_summary_fig.png"  # type: ignore
+
+        clf.plot_feature_importance(
+            save_path=str(feature_importance_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_cv_results(
+            save_path=str(cv_results_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_shap_waterfall(
+            save_path=str(shap_waterfall_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        clf.plot_shap_summary(
+            save_path=str(shap_summary_fig_path),
+            display_plot=False,
+        )
+
+        assert_that(feature_importance_fig_path.parts[-1]).is_equal_to("feature_importance_fig.png")
+        _validate_figure_type_and_size(
+            path=feature_importance_fig_path,
+            expected_size=(1381, 943),
+        )
+        assert_that(cv_results_fig_path.parts[-1]).is_equal_to("cv_results_fig.png")
+        _validate_figure_type_and_size(
+            path=cv_results_fig_path,
+            expected_size=(1406, 943),
+        )
+        assert_that(shap_waterfall_fig_path.parts[-1]).is_equal_to("shap_waterfall_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_waterfall_fig_path,
+            expected_size=(1375, 974),
+        )
+        assert_that(shap_summary_fig_path.parts[-1]).is_equal_to("shap_summary_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_summary_fig_path,
+            expected_size=(1474, 760),
+        )
+
 
 # TODO(amir): we have to test the callbacks + verbose logs
diff --git a/tests/slickml/metrics/test_binary_classification_metrics.py b/tests/slickml/metrics/test_binary_classification_metrics.py
index 0658f93..1827bdb 100644
--- a/tests/slickml/metrics/test_binary_classification_metrics.py
+++ b/tests/slickml/metrics/test_binary_classification_metrics.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict
 
 import numpy as np
@@ -8,7 +9,7 @@
 from matplotlib.figure import Figure
 
 from slickml.metrics import BinaryClassificationMetrics
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): the case for `average_method = None` which is in `__post_init__`
@@ -564,3 +565,25 @@ def test_average_method__is_none__when_binary(self) -> None:
         assert_that(m.average_method).is_equal_to("binary")
         # TODO(amir): the average method should be None?
         # assert_that(m.average_method).is_none()
+
+    def test_binary_classification_metrics_plots__passes__with_valid_save_paths(
+        self,
+        figure_path: Path,
+    ) -> None:
+        """Validates `BinaryClassificationMetrics` saving plots passes with valid paths."""
+        m = BinaryClassificationMetrics(
+            y_true=[1, 0, 1, 0],
+            y_pred_proba=[0.5, 0.0, 0.2, 0.8],
+        )
+        clf_metrics_fig_path = figure_path / "clf_metrics.png"  # type: ignore
+        m.plot(
+            save_path=str(clf_metrics_fig_path),
+            return_fig=False,
+            display_plot=False,
+        )
+
+        assert_that(clf_metrics_fig_path.parts[-1]).is_equal_to("clf_metrics.png")
+        _validate_figure_type_and_size(
+            path=clf_metrics_fig_path,
+            expected_size=(2297, 2016),
+        )
diff --git a/tests/slickml/metrics/test_regression_metrics.py b/tests/slickml/metrics/test_regression_metrics.py
index 6678898..ae9d1a5 100644
--- a/tests/slickml/metrics/test_regression_metrics.py
+++ b/tests/slickml/metrics/test_regression_metrics.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict
 
 import numpy as np
@@ -8,7 +9,7 @@
 from matplotlib.figure import Figure
 
 from slickml.metrics import RegressionMetrics
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): tests for multi-outputs + "variance_weighted" and "raw_values" methods are still missing
@@ -174,3 +175,25 @@ def test_get_metrics__fails__with_invalid_dtypes(
 
         with pytest.raises((ValueError, TypeError)):
             _ = m.get_metrics(**kwargs)
+
+    def test_regression_metrics_plots__passes__with_valid_save_paths(
+        self,
+        figure_path: Path,
+    ) -> None:
+        """Validates `RegressionMetrics` saving plots passes with valid paths."""
+        m = RegressionMetrics(
+            y_true=[3, 0.5, 2, 7],
+            y_pred=[2.5, 0.0, 2, 8],
+        )
+        reg_metrics_fig_path = figure_path / "reg_metrics.png"  # type: ignore
+        m.plot(
+            save_path=str(reg_metrics_fig_path),
+            return_fig=False,
+            display_plot=False,
+        )
+
+        assert_that(reg_metrics_fig_path.parts[-1]).is_equal_to("reg_metrics.png")
+        _validate_figure_type_and_size(
+            path=reg_metrics_fig_path,
+            expected_size=(2037, 2632),
+        )
diff --git a/tests/slickml/regression/test_glmnet.py b/tests/slickml/regression/test_glmnet.py
index 4ce1b2f..e9c49e3 100644
--- a/tests/slickml/regression/test_glmnet.py
+++ b/tests/slickml/regression/test_glmnet.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
@@ -9,7 +10,7 @@
 from matplotlib.figure import Figure
 
 from slickml.regression import GLMNetCVRegressor
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): add lolipop plot for coeff + unit-test
@@ -426,3 +427,67 @@ def test_glmnetcvregressor_shap_plots__passes__with_valid_inputs(
         reg.plot_shap_summary(**summary_kwargs)
 
         assert_that(shap_waterfall_fig).is_instance_of(Figure)
+
+    @pytest.mark.parametrize(
+        ("reg_train_test_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["reg_train_test_x_y"],
+        ids=_ids,
+    )
+    def test_glmnetcvregressor_plots__passes__with_valid_save_paths(
+        self,
+        reg_train_test_x_y: Tuple[pd.DataFrame, pd.DataFrame, np.ndarray, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates `GLMNetCVRegressor` saving plots passes with valid paths."""
+        X_train, X_test, y_train, y_test = reg_train_test_x_y
+        reg = GLMNetCVRegressor()
+        reg.fit(X_train, y_train)
+        _ = reg.predict(X_test, y_test)
+        cv_results_fig_path = figure_path / "cv_results_fig.png"  # type: ignore
+        coeff_path_fig_path = figure_path / "coeff_path_fig.png"  # type: ignore
+        shap_waterfall_fig_path = figure_path / "shap_waterfall_fig.png"  # type: ignore
+        shap_summary_fig_path = figure_path / "shap_summary_fig.png"  # type: ignore
+
+        reg.plot_cv_results(
+            save_path=str(cv_results_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_coeff_path(
+            save_path=str(coeff_path_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_shap_waterfall(
+            save_path=str(shap_waterfall_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_shap_summary(
+            save_path=str(shap_summary_fig_path),
+            display_plot=False,
+        )
+
+        assert_that(cv_results_fig_path.parts[-1]).is_equal_to("cv_results_fig.png")
+        _validate_figure_type_and_size(
+            path=cv_results_fig_path,
+            expected_size=(1371, 936),
+        )
+        assert_that(coeff_path_fig_path.parts[-1]).is_equal_to("coeff_path_fig.png")
+        _validate_figure_type_and_size(
+            path=coeff_path_fig_path,
+            expected_size=(1604, 936),
+        )
+        assert_that(shap_waterfall_fig_path.parts[-1]).is_equal_to("shap_waterfall_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_waterfall_fig_path,
+            expected_size=(1394, 974),
+        )
+        assert_that(shap_summary_fig_path.parts[-1]).is_equal_to("shap_summary_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_summary_fig_path,
+            expected_size=(1487, 1560),
+        )
diff --git a/tests/slickml/regression/test_xgboost.py b/tests/slickml/regression/test_xgboost.py
index ab246ae..d8ca885 100644
--- a/tests/slickml/regression/test_xgboost.py
+++ b/tests/slickml/regression/test_xgboost.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
@@ -11,7 +12,7 @@
 from matplotlib.figure import Figure
 
 from slickml.regression import XGBoostRegressor
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): Currently `SHAP` raises a lot of warnings. Please figure out a way to dump these warnings
@@ -417,3 +418,56 @@ def test_xgboostregressor_shap_plots__passes__with_valid_inputs(
         reg.plot_shap_summary(**summary_kwargs)
 
         assert_that(shap_waterfall_fig).is_instance_of(Figure)
+
+    @pytest.mark.parametrize(
+        ("reg_train_test_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["reg_train_test_x_y"],
+        ids=_ids,
+    )
+    def test_xgboostregressor_plots__passes__with_valid_save_paths(
+        self,
+        reg_train_test_x_y: Tuple[pd.DataFrame, pd.DataFrame, np.ndarray, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates `XGBoostRegressor` saving plots passes with valid paths."""
+        X_train, X_test, y_train, y_test = reg_train_test_x_y
+        reg = XGBoostRegressor()
+        reg.fit(X_train, y_train)
+        _ = reg.predict(X_test, y_test)
+        feature_importance_fig_path = figure_path / "feature_importance_fig.png"  # type: ignore
+        shap_waterfall_fig_path = figure_path / "shap_waterfall_fig.png"  # type: ignore
+        shap_summary_fig_path = figure_path / "shap_summary_fig.png"  # type: ignore
+
+        reg.plot_feature_importance(
+            save_path=str(feature_importance_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_shap_waterfall(
+            save_path=str(shap_waterfall_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_shap_summary(
+            save_path=str(shap_summary_fig_path),
+            display_plot=False,
+        )
+
+        assert_that(feature_importance_fig_path.parts[-1]).is_equal_to("feature_importance_fig.png")
+        _validate_figure_type_and_size(
+            path=feature_importance_fig_path,
+            expected_size=(1399, 943),
+        )
+        assert_that(shap_waterfall_fig_path.parts[-1]).is_equal_to("shap_waterfall_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_waterfall_fig_path,
+            expected_size=(1409, 974),
+        )
+        assert_that(shap_summary_fig_path.parts[-1]).is_equal_to("shap_summary_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_summary_fig_path,
+            expected_size=(1487, 1560),
+        )
diff --git a/tests/slickml/regression/test_xgboostcv.py b/tests/slickml/regression/test_xgboostcv.py
index 923dbe0..a7a2a8b 100644
--- a/tests/slickml/regression/test_xgboostcv.py
+++ b/tests/slickml/regression/test_xgboostcv.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
@@ -11,7 +12,7 @@
 from matplotlib.figure import Figure
 
 from slickml.regression import XGBoostCVRegressor
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 # TODO(amir): Currently `SHAP` raises a lot of warnings. Please figure out a way to dump these warnings
@@ -476,5 +477,69 @@ def test_xgboostcvregressor_shap_plots__passes__with_valid_inputs(
 
         assert_that(shap_waterfall_fig).is_instance_of(Figure)
 
+    @pytest.mark.parametrize(
+        ("reg_train_test_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["reg_train_test_x_y"],
+        ids=_ids,
+    )
+    def test_xgboostcvregressor_plots__passes__with_valid_save_paths(
+        self,
+        reg_train_test_x_y: Tuple[pd.DataFrame, pd.DataFrame, np.ndarray, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates `XGBoostCVRegressor` saving plots passes with valid paths."""
+        X_train, X_test, y_train, y_test = reg_train_test_x_y
+        reg = XGBoostCVRegressor()
+        reg.fit(X_train, y_train)
+        _ = reg.predict(X_test, y_test)
+        feature_importance_fig_path = figure_path / "feature_importance_fig.png"  # type: ignore
+        cv_results_fig_path = figure_path / "cv_results_fig.png"  # type: ignore
+        shap_waterfall_fig_path = figure_path / "shap_waterfall_fig.png"  # type: ignore
+        shap_summary_fig_path = figure_path / "shap_summary_fig.png"  # type: ignore
+
+        reg.plot_feature_importance(
+            save_path=str(feature_importance_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_cv_results(
+            save_path=str(cv_results_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_shap_waterfall(
+            save_path=str(shap_waterfall_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        reg.plot_shap_summary(
+            save_path=str(shap_summary_fig_path),
+            display_plot=False,
+        )
+
+        assert_that(feature_importance_fig_path.parts[-1]).is_equal_to("feature_importance_fig.png")
+        _validate_figure_type_and_size(
+            path=feature_importance_fig_path,
+            expected_size=(1399, 943),
+        )
+        assert_that(cv_results_fig_path.parts[-1]).is_equal_to("cv_results_fig.png")
+        _validate_figure_type_and_size(
+            path=cv_results_fig_path,
+            expected_size=(1388, 943),
+        )
+        assert_that(shap_waterfall_fig_path.parts[-1]).is_equal_to("shap_waterfall_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_waterfall_fig_path,
+            expected_size=(1409, 974),
+        )
+        assert_that(shap_summary_fig_path.parts[-1]).is_equal_to("shap_summary_fig.png")
+        _validate_figure_type_and_size(
+            path=shap_summary_fig_path,
+            expected_size=(1487, 1560),
+        )
+
 
 # TODO(amir): we have to test the callbacks + verbose logs
diff --git a/tests/slickml/selection/test_xgboost.py b/tests/slickml/selection/test_xgboost.py
index 04d76ff..f5c4c33 100644
--- a/tests/slickml/selection/test_xgboost.py
+++ b/tests/slickml/selection/test_xgboost.py
@@ -1,3 +1,4 @@
+from pathlib import Path  # noqa
 from typing import Any, Dict, List, Tuple, Union
 
 import numpy as np
@@ -8,7 +9,7 @@
 from sklearn.preprocessing import StandardScaler
 
 from slickml.selection import XGBoostFeatureSelector
-from tests.conftest import _ids
+from tests.conftest import _ids, _validate_figure_type_and_size
 
 
 class TestXGBoostFeatureSelector:
@@ -446,3 +447,96 @@ def test_reg_xgboostfeatureselector__passes__with_valid_inputs(
         assert_that(feature_frequency).is_instance_of(pd.DataFrame)
         assert_that(cv_results_fig).is_instance_of(Figure)
         assert_that(feature_frequency_fig).is_instance_of(Figure)
+
+    @pytest.mark.parametrize(
+        ("clf_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["clf_x_y"],
+        ids=_ids,
+    )
+    def test_clf_xgboostfeatureselector_plots__passes__with_valid_save_paths(
+        self,
+        clf_x_y: Tuple[pd.DataFrame, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates classification `XGBoostFeatureSelector` saving plots passes with valid paths."""
+        X, y = clf_x_y
+        xfs = XGBoostFeatureSelector(
+            n_iter=1,
+            metrics="auc",
+            early_stopping_rounds=1000,
+        )
+        xfs.fit(X, y)
+        feature_frequency_fig_path = figure_path / "feature_frequency_fig.png"  # type: ignore
+        cv_results_fig_path = figure_path / "cv_results_fig.png"  # type: ignore
+
+        xfs.plot_frequency(
+            save_path=str(feature_frequency_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        xfs.plot_cv_results(
+            save_path=str(cv_results_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+
+        assert_that(feature_frequency_fig_path.parts[-1]).is_equal_to("feature_frequency_fig.png")
+        _validate_figure_type_and_size(
+            path=feature_frequency_fig_path,
+            expected_size=(1380, 789),
+        )
+        assert_that(cv_results_fig_path.parts[-1]).is_equal_to("cv_results_fig.png")
+        _validate_figure_type_and_size(
+            path=cv_results_fig_path,
+            expected_size=(1709, 1358),
+        )
+
+    @pytest.mark.parametrize(
+        ("reg_x_y"),
+        [
+            ("dataframe"),
+        ],
+        indirect=["reg_x_y"],
+        ids=_ids,
+    )
+    def test_reg_xgboostfeatureselector_plots__passes__with_valid_save_paths(
+        self,
+        reg_x_y: Tuple[pd.DataFrame, np.ndarray],
+        figure_path: Path,
+    ) -> None:
+        """Validates regression `XGBoostFeatureSelector` saving plots passes with valid paths."""
+        X, y = reg_x_y
+        xfs = XGBoostFeatureSelector(
+            n_iter=1,
+            metrics="rmse",
+            early_stopping_rounds=1000,
+        )
+        xfs.fit(X, y)
+        feature_frequency_fig_path = figure_path / "feature_frequency_fig.png"  # type: ignore
+        cv_results_fig_path = figure_path / "cv_results_fig.png"  # type: ignore
+
+        xfs.plot_frequency(
+            show_freq_pct=False,
+            save_path=str(feature_frequency_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+        xfs.plot_cv_results(
+            save_path=str(cv_results_fig_path),
+            display_plot=False,
+            return_fig=False,
+        )
+
+        assert_that(feature_frequency_fig_path.parts[-1]).is_equal_to("feature_frequency_fig.png")
+        _validate_figure_type_and_size(
+            path=feature_frequency_fig_path,
+            expected_size=(1399, 789),
+        )
+        assert_that(cv_results_fig_path.parts[-1]).is_equal_to("cv_results_fig.png")
+        _validate_figure_type_and_size(
+            path=cv_results_fig_path,
+            expected_size=(1724, 1358),
+        )