scalation/scalation/scalation.modeling/NoSubModels

NoSubModels

scalation.modeling.NoSubModels

The NoSubModel trait is for modeling techniques that do not support building sub-models/feature selection (adding/remove variables from the model). For example, SimpleRegression only has one feature/predictor variable, so feature selection makes no sense for this modeling technique.

Attributes

Graph
Supertypes: class Object

trait Matchable

class Any
Known subtypes: class ClusteringPredictor

class AR_Star

class RandomWalk_Star

class AR

class NullModel

class RandomWalk

class RandomWalkS

class SimpleExpSmoothing

class SimpleMovingAverage

class WeightedMovingAverage

class SimpleMovingAverage2

class TrendModel

class NonlinearRegression

class NullModel

class SimpleExpRegression

class SimpleRegression

class SimplerRegression
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Members list

Value members

Concrete methods

Build a sub-model that is restricted to the given columns of the data matrix. Must be implemented for models that support feature selection. NOT SUPPORTED for this model, so throw an EXCEPTION.

Value parameters

fname2: the variable/feature names for the new model (defaults to null)
x_cols: the columns that the new model is restricted to

Attributes

Return the best model found from feature selection.

Attributes

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