ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.accuracy(Double accuracy) |
The fraction of the labels that were correct recognized.
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static ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.builder() |
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.f1Score(Double f1Score) |
A measure of how accurate the classifier results are for the test data.
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.hammingLoss(Double hammingLoss) |
Indicates the fraction of labels that are incorrectly predicted.
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.microF1Score(Double microF1Score) |
A measure of how accurate the classifier results are for the test data.
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.microPrecision(Double microPrecision) |
A measure of the usefulness of the recognizer results in the test data.
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.microRecall(Double microRecall) |
A measure of how complete the classifier results are for the test data.
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.precision(Double precision) |
A measure of the usefulness of the classifier results in the test data.
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.recall(Double recall) |
A measure of how complete the classifier results are for the test data.
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ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.toBuilder() |
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