palma.utils.plotting

Module Contents

Functions

plot_correlation(df[, cmap, method, linewidths, fmt, ...])
plot_splitting_strategy(X, y, iter_cross_validation, cmap)
plot_variable_importance(variable_importance[, mode, ...])
roc_plot_bundle(list_fpr, list_tpr[, mean_fpr, ...])
roc_plot_base()

palma.utils.plotting.plot_correlation(df: pandas.DataFrame, cmap: str = 'RdBu_r', method: str = 'spearman', linewidths=1, fmt='0.2f', vmin=-1, vmax=1)

palma.utils.plotting.plot_splitting_strategy(X: pandas.DataFrame, y: pandas.Series, iter_cross_validation: iter, cmap, sort_by=None, modulus=1)

palma.utils.plotting.plot_variable_importance(variable_importance: pandas.DataFrame, mode='minmax', color='darkblue', cmap='flare', alpha=0.2, **kwargs)

palma.utils.plotting.roc_plot_bundle(list_fpr, list_tpr, mean_fpr=np.linspace(0, 1, 100), plot_all=False, plot_beam=True, cmap='inferno', plot_mean=True, c='b', label_iter=None, mode='std', label='', **args)

palma.utils.plotting.roc_plot_base()