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Contents
# frozen_string_literal: true
require 'rumale/validation'
require 'rumale/evaluation_measure/accuracy'
module Rumale
module Base
# Module for all classifiers in Rumale.
module Classifier
include Validation
# An abstract method for fitting a model.
def fit
raise NotImplementedError, "#{__method__} has to be implemented in #{self.class}."
end
# An abstract method for predicting labels.
def predict
raise NotImplementedError, "#{__method__} has to be implemented in #{self.class}."
end
# Calculate the mean accuracy of the given testing data.
#
# @param x [Numo::DFloat] (shape: [n_samples, n_features]) Testing data.
# @param y [Numo::Int32] (shape: [n_samples]) True labels for testing data.
# @return [Float] Mean accuracy
def score(x, y)
x = check_convert_sample_array(x)
y = check_convert_label_array(y)
check_sample_label_size(x, y)
evaluator = Rumale::EvaluationMeasure::Accuracy.new
evaluator.score(y, predict(x))
end
end
end
end
Version data entries
40 entries across 40 versions & 1 rubygems