HiLearn: A small library of machine learning methods.
Project description
A small library of machine learning methods. As most of them are often used (by myself), they are standardized and collected here.
What’s inside?
a wrap of cross-validation for regression and classification models.
a mixture of linear regression model
a plot function to show correlation between a pair of data (for regression)
a plot function to show ROC curve with AUC score (for classification)
a few plot functions, e.g., set colors, group boxplots, venn3 plots.
How to install?
Download the codes from this github repository and then run the following command line:
python setup.py install
If you don’t have the root permission, add --user.
Tutorial and Gallery
See the tutorial for how to use, e.g., cross-validation functions and plots and hilearn plot.
Project details
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