Add prediction in the used programming language

nok · Dec 4, 2017 · 68879fc · 68879fc
1 parent 65439b9
commit 68879fc
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diff --git a/examples/estimator/classifier/AdaBoostClassifier/c/basics_embedded.ipynb b/examples/estimator/classifier/AdaBoostClassifier/c/basics_embedded.ipynb
@@ -92,36 +92,10 @@
  },
  {
  "cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
  "metadata": {
  "scrolled": false
  },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "CPU times: user 2.39 ms, sys: 1.6 ms, total: 3.99 ms\n",
- "Wall time: 2.81 ms\n"
- ]
- }
- ],
- "source": [
- "%%time\n",
- "\n",
- "from sklearn_porter import Porter\n",
- "\n",
- "porter = Porter(clf, language='c')\n",
- "output = porter.export()\n",
- "\n",
- "with open('AdaBoostClassifier.c', 'w') as f:\n",
- " f.write(output)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
  "outputs": [
  {
  "name": "stdout",
@@ -389,14 +363,21 @@
  " printf(\"%d\", predict(features));\n",
  " return 0;\n",
  "\n",
- "}"
+ "}\n",
+ "CPU times: user 3.09 ms, sys: 1.99 ms, total: 5.09 ms\n",
+ "Wall time: 3.47 ms\n"
  ]
  }
  ],
  "source": [
- "%%bash\n",
+ "%%time\n",
+ "\n",
+ "from sklearn_porter import Porter\n",
+ "\n",
+ "porter = Porter(clf, language='c')\n",
+ "output = porter.export()\n",
  "\n",
- "cat AdaBoostClassifier.c"
+ "print(output)"
  ]
  },
  {
@@ -406,9 +387,55 @@
  "### Run classification in C:"
  ]
  },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Save the transpiled estimator:"
+ ]
+ },
  {
  "cell_type": "code",
  "execution_count": 6,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "with open('ada.c', 'w') as f:\n",
+ " f.write(output)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Compiling:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "%%bash\n",
+ "\n",
+ "gcc ada.c -std=c99 -lm -o ada"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Prediction:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
  "metadata": {},
  "outputs": [
  {
@@ -422,8 +449,7 @@
  "source": [
  "%%bash\n",
  "\n",
- "gcc ./AdaBoostClassifier.c -std=c99 -lm -o AdaBoostClassifier\n",
- "./AdaBoostClassifier 1 2 3 4"
+ "./ada 1 2 3 4"
  ]
  }
  ],

diff --git a/examples/estimator/classifier/DecisionTreeClassifier/c/basics.ipynb b/examples/estimator/classifier/DecisionTreeClassifier/c/basics.ipynb
@@ -106,9 +106,9 @@
  "\n",
  "int lChilds[17] = {1, -1, 3, 4, 5, -1, -1, 8, -1, 10, -1, -1, 13, 14, -1, -1, -1};\n",
  "int rChilds[17] = {2, -1, 12, 7, 6, -1, -1, 9, -1, 11, -1, -1, 16, 15, -1, -1, -1};\n",
- "double thresholds[17] = {2.45000004768, -2.0, 1.75, 4.94999980927, 1.65000009537, -2.0, -2.0, 1.54999995232, -2.0, 5.44999980927, -2.0, -2.0, 4.85000038147, 5.94999980927, -2.0, -2.0, -2.0};\n",
- "int indices[17] = {2, 2, 3, 2, 3, 2, 2, 3, 2, 2, 2, 2, 2, 0, 2, 2, 2};\n",
- "int classes[17][3] = {{50, 50, 50}, {50, 0, 0}, {0, 50, 50}, {0, 49, 5}, {0, 47, 1}, {0, 47, 0}, {0, 0, 1}, {0, 2, 4}, {0, 0, 3}, {0, 2, 1}, {0, 2, 0}, {0, 0, 1}, {0, 1, 45}, {0, 1, 2}, {0, 1, 0}, {0, 0, 2}, {0, 0, 43}};\n",
+ "double thresholds[17] = {2.45000004768, -2.0, 1.75, 4.94999980927, 1.65000009537, -2.0, -2.0, 1.54999995232, -2.0, 6.94999980927, -2.0, -2.0, 4.85000038147, 3.09999990463, -2.0, -2.0, -2.0};\n",
+ "int indices[17] = {2, -2, 3, 2, 3, -2, -2, 3, -2, 0, -2, -2, 2, 1, -2, -2, -2};\n",
+ "int classes[17][3] = {{50, 50, 50}, {50, 0, 0}, {0, 50, 50}, {0, 49, 5}, {0, 47, 1}, {0, 47, 0}, {0, 0, 1}, {0, 2, 4}, {0, 0, 3}, {0, 2, 1}, {0, 2, 0}, {0, 0, 1}, {0, 1, 45}, {0, 1, 2}, {0, 0, 2}, {0, 1, 0}, {0, 0, 43}};\n",
  "\n",
  "int findMax(int nums[N_CLASSES]) {\n",
  " int index = 0;\n",
@@ -143,18 +143,94 @@
  " return 0;\n",
  "\n",
  "}\n",
- "\n"
+ "\n",
+ "CPU times: user 1.21 ms, sys: 1.05 ms, total: 2.26 ms\n",
+ "Wall time: 1.43 ms\n"
  ]
  }
  ],
  "source": [
+ "%%time\n",
+ "\n",
  "from sklearn_porter import Porter\n",
  "\n",
  "porter = Porter(clf, language='c')\n",
  "output = porter.export()\n",
  "\n",
  "print(output)"
  ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Run classification in C:"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Save the transpiled estimator:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "with open('tree.c', 'w') as f:\n",
+ " f.write(output)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Compiling:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "%%bash\n",
+ "\n",
+ "gcc tree.c -std=c99 -lm -o tree"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Prediction:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "2"
+ ]
+ }
+ ],
+ "source": [
+ "%%bash\n",
+ "\n",
+ "./tree 1 2 3 4"
+ ]
  }
  ],
  "metadata": {