In order to to be train a new model create in a new folder a python script main.py which begins with:
import sys
sys.path.insert(0, "/input/") #for cloud
sys.path.insert(0, "../common/") #for local
import common
Then import and define a keras model and run the experiment as:
common.experiment(yourKerasModel)
To run the experiment in the cloud adjust cloud_run.sh to select the desired environment and then from the model's folder run:
../cloud_run.sh --input=tryponet_set -- --data_folder=tryponet_set
Where tryponet_set is your folder name with dataset on neptune server
To run the experiment locally adjust the data locations in common/neptune-local.yaml and from the inside of the model's folder run:
../local_run.sh