Tools aimed to facilitate some datascience and machine learning tasks.
Project description
scikit-learn-whiskers
A collection (only one at this time) of tools aimed to help with some tasks of machine learning and datascience studies.
These tools are intended to be compatible with scikit-learn utilities, and work properly inside a Pipeline.
WhiskerOutliers
A class to mark as outliers the values that can visually be identified as outliers from a typical box and whiskers plot.
This class implements .fit, transform and fit_transform, as well as get_params and set_params methods as any standard scikit-learn implementation.
StandardOutliers
A class to mark as outliers the values outside the range threshold * standard deviation around the mean.
This class implements .fit, transform and fit_transform, as well as get_params and set_params methods as any standard scikit-learn implementation.
Requisites:
NumPyPandasScikit-Learn
Installation
To install it: pip git+https://github.com/ayaranitram/scikit-learn-whiskers
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