DistanceMatrix

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

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

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

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

Get distance matrix.

Returns

2D array with distances between series

Return type

np.ndarray