API Reference / sklearn /

neural.py

scikit-learn neural wrappers.

Generated from the NEURAL table in specs. Registered under sklearn. hub keys, mirroring the native TuiML neural family.

Classes

MLPClassifier

class sklearn.neural.MLPClassifier(_SklearnBackedMixin, Classifier)

scikit-learn MLPClassifier (hub key sklearn.MLPClassifier).

Wraps MLPClassifier. Accepts that estimator's constructor parameters as keyword arguments; call get_parameter_schema for the full list with types and defaults derived from the installed scikit-learn.

Commonly set: hidden_layer_sizes, activation, max_iter.

Constructor 
__init__(
    self,
    **params,
)

Methods

__init__ (self, **params)
get_parameter_schema (cls) -> Dict[str, Any]

Return JSON Schema for constructor parameters.

get_capabilities (cls) -> List[str]

Return the capability names this wrapper supports.

MLPRegressor

class sklearn.neural.MLPRegressor(_SklearnBackedMixin, Regressor)

scikit-learn MLPRegressor (hub key sklearn.MLPRegressor).

Wraps MLPRegressor. Accepts that estimator's constructor parameters as keyword arguments; call get_parameter_schema for the full list with types and defaults derived from the installed scikit-learn.

Commonly set: hidden_layer_sizes, activation, max_iter.

Constructor 
__init__(
    self,
    **params,
)

Methods

__init__ (self, **params)
get_parameter_schema (cls) -> Dict[str, Any]

Return JSON Schema for constructor parameters.

get_capabilities (cls) -> List[str]

Return the capability names this wrapper supports.

BernoulliRBM

class sklearn.neural.BernoulliRBM(_SklearnTransformerMixin, Transformer)

scikit-learn BernoulliRBM (hub key sklearn.BernoulliRBM).

Wraps BernoulliRBM. Accepts that estimator's constructor parameters as keyword arguments; call get_parameter_schema for the full list with types and defaults derived from the installed scikit-learn.
Constructor 
__init__(
    self,
    **params,
)

Methods

__init__ (self, **params)
get_parameter_schema (cls) -> Dict[str, Any]

Return JSON Schema for constructor parameters.

get_capabilities (cls) -> List[str]

Return the capability names this wrapper supports.