Plotter

src.utils.plotter.add_tag_2_path(tag, path)

Add a tag at the end of the name of the file in the given path

Parameters

src.utils.plotter.base_plot_roc(fpr, tpr, fpr0=None, tpr0=None, label='', path2figure=None, title='ROC curve')

Plots a ROC curve from two lists of fpr and tpr values

Parameters

fpr (array-like) – False positive rate values
tpr (array-like) – True positive rate values
fpr0 (float or None, optional (default=None)) – FPR of the operating point. If none no operation point is plotted
tpr0 (float or None, optional (default=None)) – TPR of the operating point. If none no operation point is plotted
label (str, optional (default=””)) – Label for the plot
path2figure (str or pathlib.Path or None) – Path to save the figure. If None, the figure is not saved

src.utils.plotter.plot_doc_scores(scores, n_pos=None, path2figure=None)

Plot sorted document scores

Parameters

scores (list) – A list of scores
n_pos (float, optional (default=None)) – The position to mark in the plot.

src.utils.plotter.plot_roc(roc, metrics, tag='', path2figure=None)

Plots a ROC curve from two data dictionaries.

Parameters

roc (dict) – A dictionary of roc values. It should containt heys fpr_roc, tpr_roc and auc
metrics (dict) – A dictionary of performance metrics. It should contain keys fpr0 and tpr0 (the point of operation)
tag (str, optional (default=””)) – Tipically, a label ‘Train’ or ‘Test’ to add to the figure texts
path2figure (str or pathlib.Path or None) – Path to save the figure. If None, the figure is not saved

src.utils.plotter.plot_top_values(stats, n_top=25, title='', xlabel='', ylabel='')

Barplots the top values in a given dictionary.

Parameters