Class: Rumale::EvaluationMeasure::MeanSquaredError

Inherits:
Object
  • Object
show all
Includes:
Base::Evaluator
Defined in:
lib/rumale/evaluation_measure/mean_squared_error.rb

Overview

MeanSquaredError is a class that calculates the mean squared error.

Examples:

evaluator = Rumale::EvaluationMeasure::MeanSquaredError.new
puts evaluator.score(ground_truth, predicted)

Instance Method Summary collapse

Instance Method Details

#score(y_true, y_pred) ⇒ Float

Calculate mean squared error.

Parameters:

  • y_true (Numo::DFloat) —

    (shape: [n_samples, n_outputs]) Ground truth target values.

  • y_pred (Numo::DFloat) —

    (shape: [n_samples, n_outputs]) Estimated target values.

Returns:

  • (Float) —

    Mean squared error

Raises:

  • (ArgumentError) 


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# File 'lib/rumale/evaluation_measure/mean_squared_error.rb', line 20

def score(y_true, y_pred)
  check_tvalue_array(y_true)
  check_tvalue_array(y_pred)
  raise ArgumentError, 'Expect to have the same size both y_true and y_pred.' unless y_true.shape == y_pred.shape

  ((y_true - y_pred)**2).mean
end