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SplitSetValidationTModel, TInput, TOutputLearn Method
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Learns a model that can map the given inputs to the given outputs.
Namespace:
Accord.MachineLearning.Performance
Assembly:
Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax public override SplitResult<TModel, TInput, TOutput> Learn(
TInput[] x,
TOutput[] y,
double[] weights = null
)
Public Overrides Function Learn (
x As TInput(),
y As TOutput(),
Optional weights As Double() = Nothing
) As SplitResult(Of TModel, TInput, TOutput)
Request Example
View SourceParameters
- x
- Type: TInput
The model inputs. - y
- Type: TOutput
The desired outputs associated with each x. - weights (Optional)
- Type: SystemDouble
The weight of importance for each input-output pair (if supported by the learning algorithm).
Return Value
Type:
SplitResultTModel,
TInput,
TOutputA model that has learned how to produce
y given
x.
Implements
ISupervisedLearningTModel, TInput, TOutputLearn(TInput, TOutput, Double)Exceptions Exception | Condition |
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InvalidOperationException |
Please set the Learner property before calling the Learn(x, y) method.
or
Please set the Learner property before calling the Learn(x, y) method.
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See Also