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Contents
# frozen_string_literal: true
require 'rumale/base/evaluator'
module Rumale
module EvaluationMeasure
# MedianAbsoluteError is a class that calculates the median absolute error.
#
# @example
# evaluator = Rumale::EvaluationMeasure::MedianAbsoluteError.new
# puts evaluator.score(ground_truth, predicted)
class MedianAbsoluteError
include Base::Evaluator
# Calculate median absolute error.
#
# @param y_true [Numo::DFloat] (shape: [n_samples]) Ground truth target values.
# @param y_pred [Numo::DFloat] (shape: [n_samples]) Estimated target values.
# @return [Float] Median absolute error.
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
raise ArgumentError, 'Expect target values to be 1-D arrray' if [y_true.shape.size, y_pred.shape.size].max > 1
(y_true - y_pred).abs.median
end
end
end
end
Version data entries
28 entries across 28 versions & 1 rubygems