Wetsuit
A Scikit-Learn wrapper for H2O Estimators.
Why Wetsuit
While H2O Estimators have the .fit() and .predict() methods of the Scikit-Learn API, they don't always
function as expected, especially with Pipeline objects. This package contains two estimators and a
single transformer to remedy.
For example. the H2OEstimator.fit() method expects two H2OFrame objects, vice pandas DataFrame or
numpy NDArray objects. Wetsuit provides two options for handling this behavior:
WetsuitRegressorandWetsuitClassifierclasses that wrapH2OEstimatorobjects and handle type conversion automatically, within the.fit()and.predict()methods.H2oFrameTransformerclass that converts bothDataFrameandNDArrayobjects toH2OFrameobjects via.fit_transform(), and an.inverse_transform()method to convert back.
Install
Create a virtual environment with Python >= 3.9 and install from git:
pip install git+https://github.com/chris-santiago/wetsuit.git
Use
Documentation
Documentation hosted on Github Pages: https://chris-santiago.github.io/wetsuit/
1 maintainer
Metadata
1 maintainer
Release files for wetsuit 0.1.0
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