Requirements.txt

[armenkasp]

Testing an installation after using the .yaml file to make an environment with the following:

python -c "import jlab_datascience_toolkit.data_parsers; import jlab_datascience_toolkit.data_preps; import jlab_datascience_toolkit.models; import jlab_datascience_toolkit.trainers; import jlab_datascience_toolkit.analyses; from jlab_datascience_toolkit.utils.registration import list_registered_modules; print(list_registered_modules())"

Got:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/Users/armenk/Documents/AIOP/target/jlab_datascience_core/jlab_datascience_toolkit/data_preps/__init__.py", line 12, in <module>
    from jlab_datascience_toolkit.data_preps.numpy_minmax_scaler import NumpyMinMaxScaler
  File "/Users/armenk/Documents/AIOP/target/jlab_datascience_core/jlab_datascience_toolkit/data_preps/numpy_minmax_scaler.py", line 3, in <module>
    from sklearn.preprocessing import MinMaxScaler
ModuleNotFoundError: No module named 'sklearn'

Fixed by manually install scikit-learn

pip install scikit-learn

And now see:

python -c "import jlab_datascience_toolkit.data_parsers; import jlab_datascience_toolkit.data_preps; import jlab_datascience_toolkit.models; import jlab_datascience_toolkit.trainers; import jlab_datascience_toolkit.analyses; from jlab_datascience_toolkit.utils.registration import list_registered_modules; print(list_registered_modules())" 
['NumpyParser_v0', 'CSVParser_v0', 'FamousDatasets_v0', 'NumpyMinMaxScaler_v0', 'PandasStandardScaler_v0', 'SplitDataFrame_v0', 'KerasMLP_v0', 'KerasTrainer_v0', 'MultiClassClassificationAnalysis_v0']

Need to fix dependencies and maybe add a requirements.txt :)

Here is a potential one:

opencv-python>=4.0.0
ipykernel>=6.0.0
tensorflow>=2.0.0
matplotlib>=3.0.0
torch>=1.0.0
scipy>=1.0.0
tqdm>=4.0.0
pandas>=1.0.0
seaborn>=0.11.0
unittest2>=1.0.0
jupyter>=1.0.0
imageio>=2.0.0
scikit-image>=0.18.0
optuna>=2.0.0
scikit-learn