scalation.modeling.neuralnet.RegressionMV
See theRegressionMV companion class
The RegressionMV companion object provides factory methods for creating multi-variate regression models.
Attributes
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Companion
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class
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Graph
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Supertypes
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class Object
trait Matchable
class Any
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Self type
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Members list
Create a RegressionMV object from a combined data-response matrix.
Create a RegressionMV object from a combined data-response matrix.
Value parameters
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col
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the first designated response column (defaults to the last column)
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fname
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the feature/variable names (defaults to null)
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hparam
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the hyper-parameters (defaults to Regression.hp)
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xy
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the combined data-response matrix (predictors and response)
Attributes
Create a RegressionMV object from a data matrix and a response matrix. This method provides data rescaling.
Create a RegressionMV object from a data matrix and a response matrix. This method provides data rescaling.
Value parameters
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fname
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the feature/variable names (use null for default)
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hparam
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the hyper-parameters (defaults to Regression.hp)
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x
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the data/input m-by-n matrix (augment with a first column of ones to include intercept in model)
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y
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the response/output m-vector
Attributes