Class: Rumale::LinearModel::BaseEstimator

Inherits:

Base::Estimator

• Object
• Base::Estimator
• Rumale::LinearModel::BaseEstimator

Defined in:

rumale-linear_model/lib/rumale/linear_model/base_estimator.rb

Overview

BaseEstimator is an abstract class for implementation of linear model. This class is used internally.

Direct Known Subclasses

ElasticNet, Lasso, LinearRegression, LogisticRegression, NNLS, Ridge, SGDEstimator, SVC, SVR

Instance Attribute Summary

• #bias_term ⇒ Numo::DFloat readonly

  Return the bias term (a.k.a. intercept).

• #weight_vec ⇒ Numo::DFloat readonly

  Return the weight vector.

Attributes inherited from Base::Estimator

#params

Instance Attribute Details

#bias_term ⇒ Numo::DFloat (readonly)

Return the bias term (a.k.a. intercept).

Returns:

• (Numo::DFloat) —

  (shape: [n_outputs/n_classes])

# File 'rumale-linear_model/lib/rumale/linear_model/base_estimator.rb', line 16

def bias_term
  @bias_term
end

#weight_vec ⇒ Numo::DFloat (readonly)

Return the weight vector.

Returns:

• (Numo::DFloat) —

  (shape: [n_outputs/n_classes, n_features])

# File 'rumale-linear_model/lib/rumale/linear_model/base_estimator.rb', line 12

def weight_vec
  @weight_vec
end