asterism.core.vae#

Module contents#

class asterism.core.vae.VQAE(n_topics=5, *, channels=(128, 32), optim='adam', desc='VQAE', seed=None)#

Bases: Asterism, Module

set_fit_request(*, display_rate: bool | None | str = '$UNCHANGED$', locs: bool | None | str = '$UNCHANGED$', n_steps: bool | None | str = '$UNCHANGED$', verbosity: bool | None | str = '$UNCHANGED$', x: bool | None | str = '$UNCHANGED$') → VQAE#

Configure whether metadata should be requested to be passed to the fit method.

Note that this method is only relevant when this estimator is used as a sub-estimator within a meta-estimator and metadata routing is enabled with enable_metadata_routing=True (see sklearn.set_config()). Please check the User Guide on how the routing mechanism works.

The options for each parameter are:

  • True: metadata is requested, and passed to fit if provided. The request is ignored if metadata is not provided.

  • False: metadata is not requested and the meta-estimator will not pass it to fit.

  • None: metadata is not requested, and the meta-estimator will raise an error if the user provides it.

  • str: metadata should be passed to the meta-estimator with this given alias instead of the original name.

The default (sklearn.utils.metadata_routing.UNCHANGED) retains the existing request. This allows you to change the request for some parameters and not others.

Added in version 1.3.

Parameters#

display_ratestr, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED

Metadata routing for display_rate parameter in fit.

locsstr, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED

Metadata routing for locs parameter in fit.

n_stepsstr, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED

Metadata routing for n_steps parameter in fit.

verbositystr, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED

Metadata routing for verbosity parameter in fit.

xstr, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED

Metadata routing for x parameter in fit.

Returns#

selfobject

The updated object.