Accelerate machine learning experimentation
Project description
# mlmachine
mlmachine accelerates the end-to-end machine learning pipeline.
This library is for those who have…
…copied a well-worn block of code and painstakingly adapted it to a new problem. …wished it wasn’t so tedious to perform exploratory data analysis.
mlmachine stands in the shoulders of these great packages:
[catboost](https://github.com/catboost/catboost) | [eif](https://github.com/sahandha/eif) | [hyperopt](https://github.com/hyperopt/hyperopt) | [imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn) | [jupyter](https://github.com/jupyter/notebook) | [lightgbm](https://github.com/microsoft/LightGBM) | [matplotlib](https://github.com/matplotlib/matplotlib) | [numpy](https://github.com/numpy/numpy) | [pandas](https://github.com/pandas-dev/pandas) | [prettierplot](https://github.com/petersontylerd/prettierplot) | [scikit-learn](https://github.com/scikit-learn/scikit-learn) | [scipy](https://github.com/scipy/scipy) | [seaborn](https://github.com/mwaskom/seaborn) | [shap](https://github.com/slundberg/shap) | [statsmodels](https://github.com/statsmodels/statsmodels) | [xgboost](https://github.com/dmlc/xgboost) |
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for mlmachine-0.0.34-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7de86f350138b971cad8279cbb9c4e61f8db1a164e52adce135083e9c763f982 |
|
MD5 | bd85b42dcc3fea5e726a6a1a9b7e0979 |
|
BLAKE2b-256 | 07532a58a89b4cdbafbc5a05e65fe31f4a0c5eaee4b55fc23471164a39da8a71 |