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ConfusionStatsInput

burn::train::metric

Struct ConfusionStatsInput 

pub struct ConfusionStatsInput {
    pub predictions: Tensor<2>,
    pub targets: Tensor<2, Bool>,
}
Expand description

Input for confusion statistics error types.

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§predictions: Tensor<2>

Sample x Class Non thresholded normalized predictions.

§targets: Tensor<2, Bool>

Sample x Class one-hot encoded target.

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impl ConfusionStatsInput

pub fn new( predictions: Tensor<2>, targets: Tensor<2, Bool>, ) -> ConfusionStatsInput

Constructs a new ConfusionStatsInput.

Trait Implementations§

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impl Adaptor<ConfusionStatsInput> for ClassificationOutput

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fn adapt(&self) -> ConfusionStatsInput

Adapt the type to be passed to a metric.
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impl Adaptor<ConfusionStatsInput> for MultiLabelClassificationOutput

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fn adapt(&self) -> ConfusionStatsInput

Adapt the type to be passed to a metric.
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impl Clone for ConfusionStatsInput

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fn clone(&self) -> ConfusionStatsInput

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ConfusionStatsInput

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

Formats the value using the given formatter. Read more
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impl From<(Tensor<2>, Tensor<2, Bool>)> for ConfusionStatsInput

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fn from(value: (Tensor<2>, Tensor<2, Bool>)) -> ConfusionStatsInput

Converts to this type from the input type.
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impl From<ConfusionStatsInput> for (Tensor<2>, Tensor<2, Bool>)

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fn from(input: ConfusionStatsInput) -> (Tensor<2>, Tensor<2, Bool>)

Converts to this type from the input type.

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impl<T> Adaptor<()> for T

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fn adapt(&self)

Adapt the type to be passed to a metric.
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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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