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GridSearchTModel, TLearner, TInput, TOutput Properties |
The GridSearchTModel, TLearner, TInput, TOutput generic type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Fit |
Gets or sets a LearnNewModelTLearner, TInput, TOutput, TModel function that can be used to create
new machine learning models using the current
learning algorithm.
(Inherited from BaseGridSearchTResult, TModel, TRange, TParam, TLearner, TInput, TOutput.) |
| Learner |
Gets or sets a CreateLearnerFromParameterTLearner, TParam function
that can be used to create a TModel given training parameters.
(Inherited from BaseGridSearchTResult, TModel, TRange, TParam, TLearner, TInput, TOutput.) |
| Loss |
Gets or sets a ComputeLossTOutput, TInfo function that can
be used to measure how far the actual model predictions were from the expected ground-truth.
(Inherited from BaseGridSearchTResult, TModel, TRange, TParam, TLearner, TInput, TOutput.) |
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.) |
| ParameterRanges |
The range of parameters to consider during search.
(Inherited from BaseGridSearchTResult, TModel, TRange, TParam, TLearner, TInput, TOutput.) |
| Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.) |
See Also