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SplitSetValidationTModel, TInput, TOutput Properties

The SplitSetValidationTModel, TInput, TOutput generic type exposes the following members.

Properties
  NameDescription
Public propertyDefaultValue
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).
(Inherited from BaseSplitSetValidationTResult, TModel, TLearner, TInput, TOutput.)
Public propertyFit (Inherited from BaseSplitSetValidationTResult, TModel, TLearner, TInput, TOutput.)
Public propertyIndices
Gets the group labels assigned to each of the data samples.
Public propertyIndicesTrainingSet
Gets the indices of elements in the training set.
Public propertyIndicesValidationSet
Gets the indices of elements in the validation set.
Public propertyLearner (Inherited from BaseSplitSetValidationTResult, TModel, TLearner, TInput, TOutput.)
Public propertyLoss
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 BaseSplitSetValidationTResult, TModel, TLearner, TInput, TOutput.)
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.)
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.)
Public propertyTrainingSetProportion
Gets or sets the proportion of samples that should be reserved in the training set. Default is 80%.
Public propertyValidationSetProportion
Gets or sets the proportion of samples that should be reserved in the validation set. Default is 20%.
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