aaanalysis.dPULearnPlot

class aaanalysis.dPULearnPlot[source]

Bases: object

Plotting class for dPULearn (deterministic Positive-Unlabeled Learning) results [Breimann25a].

This plotting class visualizes the by dPULearn reliably identified negative samples in a compressed feature space.

Added in version 0.1.2.

Methods

`eval`([df_eval, figsize, dict_xlims, legend, ...])	Plot evaluation output of dPULearn comparing multiple sets of identified negatives.
`pca`([df_pu, labels, figsize, pc_x, pc_y, ...])	Principal component analysis (PCA) plot for set of identified negatives.