pub struct ConfusionMatrix { /* private fields */ }
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impl ConfusionMatrix

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pub fn new(num_classes: usize) -> ConfusionMatrix

Create a ConfusionMatrix that analyzes the prediction of num_classes classes.

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pub fn add_sample(&mut self, prediction: usize, target: usize)

Add a sample by providing the expected target class and the prediction.

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pub fn add_samples(&mut self, predictions: &[usize], targets: &[usize])

Add a batch of samples.

See add_sample.

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pub fn get_predictions(&self, network_out: &mut SharedTensor<f32>) -> Vec<usize>

Get the predicted classes from the output of a network.

The prediction for each sample of the batch is found by determining which output value had the smallest loss.

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pub fn set_capacity(&mut self, capacity: Option<usize>)

Set the capacity of the ConfusionMatrix

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pub fn samples(&self) -> &VecDeque<Sample>

Return all collected samples.

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pub fn accuracy(&self) -> Accuracy

Return the accuracy of the collected predictions.

Trait Implementations§

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impl Debug for ConfusionMatrix

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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