hub / github.com/TheAlgorithms/Rust / perceptron

Function perceptron

src/machine_learning/perceptron.rs:4–43 · view source on GitHub ↗

Returns the weights and bias after performing Perceptron algorithm on the input data points. The Perceptron is a binary classification algorithm that learns a linear separator. Labels should be either -1.0 or 1.0 for the two classes.

(
    data_points: Vec<(Vec<f64>, f64)>,
    max_iterations: usize,
    learning_rate: f64,
)

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Callers 8

test_perceptron_linearly_separableFunction · 0.85

test_perceptron_xor_likeFunction · 0.85

test_perceptron_single_featureFunction · 0.85

test_perceptron_empty_dataFunction · 0.85

test_perceptron_empty_featuresFunction · 0.85

test_perceptron_zero_iterationsFunction · 0.85

test_perceptron_different_learning_ratesFunction · 0.85

test_perceptron_with_biasFunction · 0.85

Calls 5

predictFunction · 0.85

is_emptyMethod · 0.45

lenMethod · 0.45

iter_mutMethod · 0.45

iterMethod · 0.45

Tested by 8

test_perceptron_linearly_separableFunction · 0.68

test_perceptron_xor_likeFunction · 0.68

test_perceptron_single_featureFunction · 0.68

test_perceptron_empty_dataFunction · 0.68

test_perceptron_empty_featuresFunction · 0.68

test_perceptron_zero_iterationsFunction · 0.68

test_perceptron_different_learning_ratesFunction · 0.68

test_perceptron_with_biasFunction · 0.68