echo_state_network

Function mean_absolute_error

Source 
pub fn mean_absolute_error(expected: &[f64], estimated: &[f64]) -> f64
Expand description

Get the mean absolute error between two vectors

Examples found in repository?
examples/xor.rs (line 115)
98fn get_bits_error_rate(
99    estimated_output: Vec<Vec<f64>>,
100    expected_output: Vec<Vec<f64>>,
101) -> (f64, f64) {
102    let mut y_tested_binary = vec![0.0; estimated_output.len()];
103
104    for (n, estimated) in estimated_output.iter().enumerate() {
105        if estimated[0] > 0.5 {
106            y_tested_binary[n] = 1.0;
107        } else {
108            y_tested_binary[n] = 0.0;
109        }
110    }
111
112    let expected_output = expected_output.into_iter().flatten().collect::<Vec<f64>>();
113
114    let mse = mean_squared_error(&expected_output, &y_tested_binary);
115    let mae = mean_absolute_error(&expected_output, &y_tested_binary);
116
117    (mse, mae)
118}
119
120fn get_error_rate(estimated_output: Vec<Vec<f64>>, expected_output: Vec<Vec<f64>>) -> (f64, f64) {
121    let estimated_output = estimated_output.iter().map(|x| x[0]).collect::<Vec<f64>>();
122    let expected_output = expected_output.into_iter().flatten().collect::<Vec<f64>>();
123
124    let mse = mean_squared_error(&expected_output, &estimated_output);
125    let mae = mean_absolute_error(&expected_output, &estimated_output);
126
127    (mse, mae)
128}