Metrics

enum Metrics : Enum<Metrics>
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Metrics.

Entries

MSLE
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MSLE()
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Computes the mean squared logarithmic error between y_true and y_pred.

MSE
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MSE()
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Computes the mean of squares of errors between labels and predictions.

MAE
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MAE()
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Computes the mean of absolute difference between labels and predictions.

ACCURACY
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ACCURACY()
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Computes the rate of true answers.

Types

Companion
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object Companion
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Properties

name
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val name: String
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ordinal
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val ordinal: Int
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