lale.lib.autogen.gaussian_random_projection module

class lale.lib.autogen.gaussian_random_projection.GaussianRandomProjection(*, n_components='auto', eps=0.1, random_state=None)

Bases: PlannedIndividualOp

Combined schema for expected data and hyperparameters.

This documentation is auto-generated from JSON schemas.

Parameters

  • n_components (union type, default 'auto') –

    Dimensionality of the target projection space

    • integer, >=2 for optimizer, <=256 for optimizer, uniform distribution

    • or ‘auto’

    See also constraint-1.

  • eps (float, >=0.001 for optimizer, <=0.1 for optimizer, loguniform distribution, default 0.1) – Parameter to control the quality of the embedding according to the Johnson-Lindenstrauss lemma when n_components is set to ‘auto’

  • random_state (union type, not for optimizer, default None) –

    Control the pseudo random number generator used to generate the matrix at fit time

    • integer

    • or numpy.random.RandomState

    • or None

Notes

constraint-1 : union type

eps=%f and n_samples=%d lead to a target dimension of %d which is larger than the original space with n_features=%d’ % (self.eps, n_samples, self.n_components_, n_features)

  • n_components : negated type of ‘auto’

  • or any type

  • or any type

fit(X, y=None, **fit_params)

Train the operator.

Note: The fit method is not available until this operator is trainable.

Once this method is available, it will have the following signature:

Parameters

  • X (union type) –

    Training set: only the shape is used to find optimal random matrix dimensions based on the theory referenced in the afore mentioned papers.

    • array of items : Any

    • or array of items : array of items : float

  • y (Any) – Ignored

transform(X, y=None)

Transform the data.

Note: The transform method is not available until this operator is trained.

Once this method is available, it will have the following signature:

Parameters

X (union type) –

The input data to project into a smaller dimensional space.

  • array of items : Any

  • or array of items : array of items : float

Returns

result – Projected array.

  • array of items : Any

  • or array of items : array of items : float

Return type

union type