DistanceMatrix

class DistanceMatrix(distance: etna.clustering.distances.base.Distance)[source]

Bases: etna.core.mixins.BaseMixin

DistanceMatrix computes distance matrix from TSDataset.

Init DistanceMatrix.

Parameters

distance (etna.clustering.distances.base.Distance) – class for distance measurement

Inherited-members

Methods

fit(ts)

Fit distance matrix: get timeseries from ts and compute pairwise distances.

fit_predict(ts)

Compute distance matrix and return it.

predict()

Get distance matrix.

set_params(**params)

Return new object instance with modified parameters.

to_dict()

Collect all information about etna object in dict.

fit(ts: TSDataset) DistanceMatrix[source]

Fit distance matrix: get timeseries from ts and compute pairwise distances.

Parameters

ts (TSDataset) – TSDataset with timeseries

Returns

fitted DistanceMatrix object

Return type

self

fit_predict(ts: TSDataset) numpy.ndarray[source]

Compute distance matrix and return it.

Parameters

ts (TSDataset) – TSDataset with timeseries to compute matrix with

Returns

2D array with distances between series

Return type

np.ndarray

predict() numpy.ndarray[source]

Get distance matrix.

Returns

2D array with distances between series

Return type

np.ndarray