spapros.ev.ProbesetEvaluator.plot_evaluations

ProbesetEvaluator.plot_evaluations(set_ids='all', metrics='all', show=True, save=False, plt_kwargs={})

Plot detailed results plots for specified metrics.

Note

Not all plots can be supported here. If we want to plot a penalty kernel for example we’re missing the kernel info. For such plots we need separate functions.

Parameters:

  • set_ids (Union[str, List[str]]) – ID of the current probeset or “all”. Check out ProbesetEvaluator.summary_results for available sets.

  • metrics (Union[str, List[str]]) – List of calculated metrics or “all”. Check out ProbesetEvaluator.metrics for available metrics.

  • save (Union[str, Literal[False]]) – If True or a str, save the figure.

  • show (bool) – Show the figure.

  • plt_kwargs –

    Keyword Args for the selection method specific plotting function. The used plotting functions are:

    selection metric

    plotting function

    forest_clfs

    confusion_matrix()

    gene_corr

    correlation_matrix()

Return type:

None