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GitHub / rserran / pycaret
An open-source, low-code machine learning library in Python
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rserran%2Fpycaret
Fork of pycaret/pycaret
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 254 MB
Dependencies:
99
Created: over 2 years ago
Updated: 14 days ago
Last pushed: 14 days ago
Last synced: 14 days ago
Files
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Readme
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Dependencies
requirements.txt
pypi
- category-encoders >=2.4.0
- cloudpickle *
- deprecation >=2.1.0
- imbalanced-learn >=0.8.1
- importlib_metadata >=4.12.0
- ipython >=5.5.0
- ipywidgets >=7.6.5
- jinja2 >=1.2
- kaleido >=0.2.1
- lightgbm >=3.0.0
- markupsafe >=2.0.1
- matplotlib >=3.3.0
- nbformat >=4.2.0
- numba >=0.55.0
- numpy >=1.21,<1.25
- pandas >=1.3.0,<1.6.0
- pickle5 *
- plotly >=5.0.0
- plotly-resampler >=0.7.2.2
- pmdarima >=1.8.0,
- psutil >=5.9.0
- pyod >=0.9.8
- requests >=2.27.1
- schemdraw >=0.14
- scikit-learn >=1.0
- scikit-plot >=0.3.7
- scipy <2.0.0
- sktime >=0.15.0
- statsmodels >=0.12.1
- tbats >=1.1.0
- tqdm >=4.62.0
- xxhash *
- yellowbrick >=1.4
- actions/checkout v3 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish master composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- pypa/gh-action-pypi-publish master composite
- actions/checkout v3 composite
- github/codeql-action/analyze v1 composite
- github/codeql-action/autobuild v1 composite
- github/codeql-action/init v1 composite
- dessant/lock-threads v4 composite
.github/workflows/stale.yml
actions
- actions/stale v7 composite
.github/workflows/test.yml
actions
- actions/checkout v3 composite
- actions/setup-python v4 composite
- jamescurtin/isort-action master composite
- psf/black stable composite
- py-actions/flake8 v2 composite
- jupyter/base-notebook latest build
- jupyter/base-notebook latest build
- numpy *
- sphinx >=3.0.0
- sphinx-rtd-theme >=0.5.0
requirements-dev.txt
pypi
- autoviz >=0.1.36
- boto3 >=1.24.56
- catboost >=0.23.2
- comet_ml >=3.31.22
- deepchecks >=0.9.2
- evidently >=0.1.45.dev0
- explainerdashboard >=0.3.8
- fairlearn ==0.7.0
- fastapi >=0.75.0
- flask >=2.0.3
- fugue >=0.8.0
- gensim >=4.1.2
- gradio >=2.8.10
- hyperopt >=0.2.7
- interpret >=0.2.7
- kmodes >=0.11.1
- m2cgen >=0.9.0
- mlflow >=1.24.0,<2.0.0
- mlxtend >=0.19.0
- nltk >=3.7
- optuna >=3.0.0
- pandas-profiling >=3.1.0
- pyLDAvis >=3.3.1
- ray >=1.0.0
- scikit-learn-intelex >=2023.0.1
- scikit-optimize >=0.9.0
- shap >=0.38.0
- spacy >=3.2.3
- statsforecast >=0.5.5
- textblob >=0.17.1
- tune-sklearn >=0.2.1
- umap-learn >=0.5.2
- uvicorn >=0.17.6
- wordcloud >=1.8.1
- xgboost >=1.1.0
- prophet >=1.0.1