class DMDModel¶

class deeptime.decomposition.DMDModel(eigenvalues: ndarray, modes: ndarray, mode='exact')¶

Model produced by the DMD estimator.

Parameters:

eigenvalues ((n,) ndarray) – The DMD eigenvalues.
modes ((n, n) ndarray) – The DMD modes.
mode (str, optional, default='exact') – The mode of estimation that was used. See DMD.available_modes.

Methods

`copy`()	Makes a deep copy of this model.
`get_params`([deep])	Get the parameters.
`set_params`(**params)	Set the parameters of this estimator.
`transform`(data, **kwargs)	Transforms an input trajectory by applying the model's captured dynamics.

__call__(*args, **kwargs)¶: Call self as a function.

copy() → Model¶

Makes a deep copy of this model.

Returns:: A new copy of this model.
Return type:: copy

get_params(deep=False)¶

Get the parameters.

Returns:: params – Parameter names mapped to their values.
Return type:: mapping of string to any

set_params(**params)¶

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object.

Parameters:: **params (dict) – Estimator parameters.
Returns:: self – Estimator instance.
Return type:: object

transform(data: ndarray, **kwargs)¶

Transforms an input trajectory by applying the model’s captured dynamics.

Parameters:

data ((T, n) ndarray) – Input trajectory
**kwargs – Compatibility.

Returns:

output_trajectory

Return type:

(T, n) ndarray