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my machine learning toolkit

Project description

Izza

Izza is my personal data science and machine learning toolbox.

There is mainly personal function for data visualisation:

function name presentation
pca_visualisation a pca visualtion (2 components)
missingData a tables showing missing data by features
camembert_plot a camembert plot
kohohen maps a kohohen maps with percentage of target class by neuron
activation_frequencies activation frequencies for a kohohen map

There is methods to do model evaluation :

function name presentation
fun_precision precision at a determined percentage using predicted probabilities
fun_recall recall at a determined percentage using predicted probabilities
f_macro_score scorer allowing to find whether some clusters contain enough precision and recall for the target class
precision_macro_score scorer allowing to find whether some clusters contain enough precision for the target class
recall_macro_score scorer allowing to find whether some clusters contain enough recall for the target class
viable_clusters function allowing to know the interessing clusters found using the f_macro score.

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