mabor::train

Struct ClassificationOutput

pub struct ClassificationOutput<B>
where
    B: Backend,
{
    pub loss: Tensor<B, 1>,
    pub output: Tensor<B, 2>,
    pub targets: Tensor<B, 1, Int>,
}
Expand description

Simple classification output adapted for multiple metrics.

Fields§

§loss: Tensor<B, 1>

The loss.

§output: Tensor<B, 2>

The output.

§targets: Tensor<B, 1, Int>

The targets.

Implementations§

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impl<B> ClassificationOutput<B>
where B: Backend,

pub fn new( loss: Tensor<B, 1>, output: Tensor<B, 2>, targets: Tensor<B, 1, Int>, ) -> ClassificationOutput<B>

Constructs a new ClassificationOutput.

Trait Implementations§

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impl<B> Adaptor<AccuracyInput<B>> for ClassificationOutput<B>
where B: Backend,
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fn adapt(&self) -> AccuracyInput<B>

Adapt the type to be passed to a metric.
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impl<B> Adaptor<ConfusionStatsInput<B>> for ClassificationOutput<B>
where B: Backend,
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fn adapt(&self) -> ConfusionStatsInput<B>

Adapt the type to be passed to a metric.
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impl<B> Adaptor<LossInput<B>> for ClassificationOutput<B>
where B: Backend,
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fn adapt(&self) -> LossInput<B>

Adapt the type to be passed to a metric.
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impl<B> Adaptor<TopKAccuracyInput<B>> for ClassificationOutput<B>
where B: Backend,
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fn adapt(&self) -> TopKAccuracyInput<B>

Adapt the type to be passed to a metric.
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impl<B> ItemLazy for ClassificationOutput<B>
where B: Backend,
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type ItemSync = ClassificationOutput<NdArray>

Item that is properly synced and ready to be processed by metrics.
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fn sync(self) -> <ClassificationOutput<B> as ItemLazy>::ItemSync
Sync the item.

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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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