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requirements.txt
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requirements.txt
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numpy>=1.23.*
pandas>=1.4.*
scikit-learn==1.2.*
#scipy>=1.9.* # Should be automatically installed as a dep of scikit-learn
statsmodels>=0.13.*
patsy>=0.5.*
apscheduler==3.9.* # "conda install -c conda-forge apscheduler"
click
lightgbm>=3.3.* # For Linux, glibc >= 2.14 is required. "conda install -c conda-forge lightgbm"
tensorflow>=2.9.* # pip install --upgrade tensorflow
#keras # pip install --upgrade keras
#pytorch # conda install pytorch torchvision cpuonly -c pytorch
#fastai # pip install fastai
# tsfresh # For derived features. It depends on matrixprofile with binary (in pip) only for Python 3.8. Install only if tsfresh feature generator is used
python-binance>=1.0.* # pip install python-binance
#python-snappy # Compression for fastparquet (gzip is always available)
#fastparquet # "conda install -c conda-forge fastparquet"
# yfinance # if yahoo quotes are going to be used
# Visualizations
# bokeh==2.4.*
# selenium==4.7.* # to export pictures. note that it uses browser lib