BaseSplitSetValidationTResult, TModel, TLearner, TInput, TOutput Properties

Properties

	Name	Description
	DefaultValue	Gets or sets a value to be used as the Loss in case the model throws an exception during learning. Default is null (exceptions will not be ignored).
	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.
	Learner	Gets or sets a CreateLearnerFromSubsetTLearner, TInput, TOutput function that can be used to create a TModel from a subset of the learning dataset.
	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.
	ParallelOptions	Gets or sets the parallelization options for this algorithm. (Inherited from ParallelLearningBase.)
	Token	Gets or sets a cancellation token that can be used to cancel the algorithm while it is running. (Inherited from ParallelLearningBase.)

BaseSplitSetValidationAddLanguageSpecificTextSet("LST741EBBF4_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TResult, TModel, TLearner, TInput, TOutputAddLanguageSpecificTextSet("LST741EBBF4_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Properties