VisualisationΒΆ

ShapeletVisualizer(values[, normalise, ...])

A Shapelet object to use for ploting operations.

ShapeletTransformerVisualizer(estimator)

A class to visualize the result from a fitted shapelet transformer.

ShapeletClassifierVisualizer(estimator)

A class to visualize the result from a fitted shapelet classifier.

plot_series(series[, labels, markers, ...])

Plot one or more time series.

plot_lags(series[, lags, suptitle])

Plot one or more lagged versions of a time series.

plot_correlations(series[, lags, alpha, ...])

Plot series and its ACF and PACF values.

plot_series_collection(X[, y])

Plot a collection of time series.

plot_collection_by_class(X, y)

Plot a collection of time series, grouped by class.

plot_spectrogram(series[, fs, return_onesided])

Plot the spectrogram of a given time series.

plot_series_windows(y, cv[, title])

Plot training and test windows.

plot_series_with_change_points(y, change_points)

Plot the time series with the known change points.

plot_critical_difference(scores, labels[, ...])

Plot the average ranks and cliques based on the method described in [Rbf00f587966d-1].

plot_significance(scores, labels[, alpha, ...])

Plot similar to CDDs, but allows the case where cliques can be deceiving.

plot_boxplot(results, labels[, relative, ...])

Plot a box plot.

plot_scatter_predictions(y, y_pred[, title])

Plot a scatter that compares actual and predicted values for a given dataset.

plot_pairwise_scatter(results_a, results_b, ...)

Plot a scatter that compares datasets' results achieved by two methods.

plot_score_vs_time_scatter(scores, time[, ...])

Plot a scatter that compares scores and timings for a set of estimators.

create_multi_comparison_matrix(df_results[, ...])

Generate the Multi-Comparison Matrix (MCM) [Rbb655d87dead-1].

plot_series_with_profiles(ts, profiles[, ...])

Plot the TS with the known and found change points and profiles.

plot_cluster_algorithm(model, X, k)

Plot the results from a univariate partitioning algorithm.

plot_temporal_importance_curves(curves, ...)

Temporal importance curve diagram generator for interval forests.

plot_network(input_shape, network[, ...])

Plot the network with its input-output shapes and activations.

plot_pairwise_distance_matrix(...)