ml_grid.model_classes.H2ODeepLearningClassifier
Attributes
Classes
Initializes the H2ODeepLearningClassifier. |
Module Contents
- class ml_grid.model_classes.H2ODeepLearningClassifier.H2ODeepLearningClassifier(hidden=None, hidden_config=None, parameter_space_size='small', **kwargs)[source]
Bases:
ml_grid.model_classes.H2OBaseClassifier.H2OBaseClassifierInitializes the H2ODeepLearningClassifier.
It allows specifying hidden layers either directly via ‘hidden’ or through a predefined configuration name ‘hidden_config’.
- Parameters:
hidden (list, optional) – A list of integers specifying the number of neurons for each hidden layer. Defaults to None.
hidden_config (str, optional) – A string key (‘small’, ‘medium’, ‘large’) to select a predefined hidden layer architecture. Defaults to None.
**kwargs – Additional keyword arguments passed to the H2ODeepLearningEstimator.