convst.interpreters.RDST_Ridge_interpreter

class convst.interpreters.RDST_Ridge_interpreter(RDST_Ridge)

Bases: object

Interpreter for RDST Ridge models.

Parameters:

RDST_Ridgeobject

A fitted RDST Ridge classifier.

Returns:

None.

Methods

__init__(RDST_Ridge)
visualize_best_shapelets_one_class(X, y, ...)	Plot the n_shp best candidates for the class_id.

visualize_best_shapelets_one_class(X, y, class_id, n_shp=1, figsize=(16, 12), seaborn_context='talk')

Plot the n_shp best candidates for the class_id. Visualize best macth on two random samples and how the shapelet discriminate (X,y) with boxplots

Parameters:

Xarray, shape=(n_samples, n_fetaures, n_timestamps)

A time series dataset. Can be the training set to visualize training results, or testing to visualize generalization to unseen samples.

yarray, shape=(n_samples)

The true classes of the time series dataset.

class_idint

ID of the class we want to visualize. The n_shp best shapelet for this class will be selected based on the feature coefficients inside the ridge classifier.

n_shpint, optional

Number of plots to output, one per shapelet (i.e. the n_shp best shapelets for class_id). The default is 1.

figsizetuple, optional

Size of the figure. The default is (16,12).

seaborn_contextstr, optional

Seaborn context. The default is ‘talk’.

Returns:

None.