final class FalseNegativeRateAtThreshold extends GeneratedMessage with FalseNegativeRateAtThresholdOrBuilder
Protobuf type tensorflow.metadata.v0.FalseNegativeRateAtThreshold
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- FalseNegativeRateAtThreshold.java
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- def getThreshold(): DoubleValue
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
.google.protobuf.DoubleValue threshold = 1;- returns
The threshold.
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- FalseNegativeRateAtThreshold → FalseNegativeRateAtThresholdOrBuilder
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- def getThresholdOrBuilder(): DoubleValueOrBuilder
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
.google.protobuf.DoubleValue threshold = 1;- Definition Classes
- FalseNegativeRateAtThreshold → FalseNegativeRateAtThresholdOrBuilder
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- def hasThreshold(): Boolean
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
Threshold to apply to a prediction to determine positive vs negative. Note: if the model is calibrated, the threshold can be thought of as a probability so the threshold has a stable, intuitive semantic. However, not all solutions may be calibrated, and not all computations of the metric may operate on a calibrated score. In AutoTFX, the final model metrics are computed on a calibrated score, but the metrics computed within the model selection process are uncalibrated. Be aware of this possible skew in the metrics between model selection and final model evaluation.
.google.protobuf.DoubleValue threshold = 1;- returns
Whether the threshold field is set.
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