automl-pycaret / requirements.txt
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# alembic==1.8.1
# altair==4.2.0
# asttokens==2.0.8
# attrs==22.1.0
# backcall==0.2.0
# blinker==1.5
# blis==0.7.9
# Boruta==0.3
# cachetools==5.2.0
# catalogue==1.0.2
# certifi==2022.9.24
# charset-normalizer==2.1.1
# click==8.1.3
# cloudpickle==2.2.0
# colorama==0.4.6
# colorlover==0.3.0
# commonmark==0.9.1
# cufflinks==0.17.3
# cycler==0.11.0
# cymem==2.0.7
# databricks-cli==0.17.3
# debugpy==1.6.3
django
# decorator==5.1.1
# docker==6.0.0
# entrypoints==0.4
# executing==1.1.1
# Flask==2.2.2
# fonttools==4.38.0
# funcy==1.17
# future==0.18.2
# gensim==3.8.3
# gitdb==4.0.9
# GitPython==3.1.29
# greenlet==1.1.3.post0
# htmlmin==0.1.12
# idna==3.4
# ImageHash==4.3.1
# imbalanced-learn==0.7.0
# importlib-metadata==5.0.0
# ipykernel==6.16.2
ipython
# ipywidgets==8.0.2
# itsdangerous==2.1.2
# jedi==0.18.1
# Jinja2==3.1.2
# joblib==1.2.0
# jsonschema==4.16.0
# jupyter_client==7.4.4
# jupyter_core==4.11.2
# jupyterlab-widgets==3.0.3
# kiwisolver==1.4.4
# kmodes==0.12.2
# lightgbm==3.3.3
# llvmlite==0.37.0
lazypredict
# Mako==1.2.3
# MarkupSafe==2.1.1
matplotlib
matplotlib-inline
# missingno==0.5.1
# mlflow==1.30.0
# mlxtend==0.19.0
# multimethod==1.9
# murmurhash==1.0.9
# nest-asyncio==1.5.6
# networkx==2.8.7
# nltk==3.7
# numba==0.54.1
# numexpr==2.8.3
numpy
# oauthlib==3.2.2
# packaging==21.3
pandas
pandas-profiling
# parso==0.8.3
# patsy==0.5.3
# phik==0.12.2
# pickleshare==0.7.5
# pickle5
# Pillow==9.2.0
# plac==1.1.3
plotly
# preshed==3.0.8
# prometheus-client==0.15.0
# prometheus-flask-exporter==0.20.3
# prompt-toolkit==3.0.31
# protobuf==3.20.3
# psutil==5.9.3
# pure-eval==0.2.2
# pyarrow==9.0.0
pycaret[full]
# pydantic==1.10.2
# pydeck==0.8.0b4
# Pygments==2.13.0
# PyJWT==2.6.0
# pyLDAvis==3.3.1
# Pympler==1.0.1
# pynndescent==0.5.7
# pyod==1.0.6
# pyparsing==3.0.9
# pyrsistent==0.18.1
python-dateutil
pytz
# pytz-deprecation-shim==0.1.0.post0
# pywin32==304
# PyYAML==5.4.1
# pyzmq==24.0.1
# querystring-parser==1.2.4
# regex==2022.9.13
requests
# rich==12.6.0
scikit-learn
scikit-plot
scipy
# seaborn
# semver==2.13.0
# six==1.16.0
# sklearn
# smart-open==6.2.0
# smmap==5.0.0
# spacy==2.3.8
# SQLAlchemy==1.4.42
# sqlparse==0.4.3
# srsly==1.0.6
# stack-data==0.5.1
statsmodels
streamlit
streamlit-pandas-profiling
# tabulate==0.9.0
# tangled-up-in-unicode==0.2.0
# tenacity==8.1.0
# textblob==0.17.1
# thinc==7.4.6
# threadpoolctl==3.1.0
# toml==0.10.2
# toolz==0.12.0
# tornado==6.2
# tqdm==4.64.1
# traitlets==5.5.0
# typing_extensions==4.4.0
# tzdata==2022.5
# tzlocal==4.2
# umap-learn==0.5.3
# urllib3==1.26.12
# validators==0.20.0
# visions==0.7.5
# waitress==2.1.2
# wasabi==0.10.1
# watchdog==2.1.9
# wcwidth==0.2.5
# websocket-client==1.4.1
# Werkzeug==2.2.2
# widgetsnbextension==4.0.3
# wordcloud==1.8.2.2
# yellowbrick==1.2.1
# zipp==3.10.0