Sha256: dcec1b49e5795a0ec8a1b89b4b7be1715a3c59e0640191c3a9af04e84b48d56e
Contents?: true
Size: 1.48 KB
Versions: 8
Compression:
Stored size: 1.48 KB
Contents
# frozen_string_literal: true
require 'rumale/base/evaluator'
require 'rumale/evaluation_measure/precision_recall'
module Rumale
# This module consists of the classes for model evaluation.
module EvaluationMeasure
# Recall is a class that calculates the recall of the predicted labels.
#
# @example
# require 'rumale/evaluation_measure/recall'
#
# evaluator = Rumale::EvaluationMeasure::Recall.new
# puts evaluator.score(ground_truth, predicted)
class Recall
include ::Rumale::Base::Evaluator
include ::Rumale::EvaluationMeasure::PrecisionRecall
# Return the average type for calculation of recall.
# @return [String] ('binary', 'micro', 'macro')
attr_reader :average
# Create a new evaluation measure calculater for recall score.
#
# @param average [String] The average type ('binary', 'micro', 'macro')
def initialize(average: 'binary')
@average = average
end
# Calculate average recall
#
# @param y_true [Numo::Int32] (shape: [n_samples]) Ground truth labels.
# @param y_pred [Numo::Int32] (shape: [n_samples]) Predicted labels.
# @return [Float] Average recall
def score(y_true, y_pred)
case @average
when 'binary'
recall_each_class(y_true, y_pred).last
when 'micro'
micro_average_recall(y_true, y_pred)
when 'macro'
macro_average_recall(y_true, y_pred)
end
end
end
end
end
Version data entries
8 entries across 8 versions & 1 rubygems