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DiscretizationTInput, TOutputLearn Method (TInput, Double)
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Learns a model that can map the given inputs to the desired outputs.
Namespace:
Accord.Statistics.Filters
Assembly:
Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
Syntax public Discretization<TInput, TOutput> Learn(
TInput[] x,
double[] weights = null
)
Public Function Learn (
x As TInput(),
Optional weights As Double() = Nothing
) As Discretization(Of TInput, TOutput)
Request Example
View SourceParameters
- x
- Type: TInput
The model inputs. - weights (Optional)
- Type: SystemDouble
The weight of importance for each input sample.
Return Value
Type:
DiscretizationTInput,
TOutputA model that has learned how to produce suitable outputs
given the input data
x.
See Also