Allocate vectors with capacity for faster init
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a39ac835e4
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0e6e15d201
2 changed files with 5 additions and 6 deletions
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@ -21,8 +21,8 @@ fn main() {
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Uniform::new(training_interval.0, training_interval.1),
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)
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.to_vec();
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let mut x_train = Vec::new();
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let mut y_train = Vec::new();
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let mut x_train = Vec::with_capacity(steps);
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let mut y_train = Vec::with_capacity(steps);
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for x in training_values {
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x_train.push(Array1::from_elem(1usize, x));
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y_train.push(Array1::from_elem(1usize, x.sin()));
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@ -32,8 +32,8 @@ fn main() {
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let interval_length = training_interval.1 - training_interval.0;
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let step_size = interval_length / test_steps as f64;
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let testing_values = Array1::range(training_interval.0, training_interval.1, step_size);
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let mut x_test = Vec::new();
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let mut y_test_true = Vec::new();
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let mut x_test = Vec::with_capacity(test_steps);
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let mut y_test_true = Vec::with_capacity(test_steps);
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for x in testing_values {
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x_test.push(Array1::from_elem(1usize, x));
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y_test_true.push(Array1::from_elem(1usize, x.sin()));
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@ -26,8 +26,7 @@ impl Network {
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}
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pub fn predict(&mut self, inputs: &[Array1<f64>]) -> Vec<Array1<f64>> {
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assert!(!inputs.is_empty());
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let mut result = vec![];
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let mut result = Vec::with_capacity(inputs.len());
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for input in inputs.iter() {
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let mut output = input.to_owned();
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