Package com.oracle.bmc.ailanguage.model
Class ClassMetrics
- java.lang.Object
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- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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- com.oracle.bmc.ailanguage.model.ClassMetrics
 
 
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 @Generated(value="OracleSDKGenerator", comments="API Version: 20221001") public final class ClassMetrics extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModelclass level Text Classification model metrics
 Note: Objects should always be created or deserialized using theClassMetrics.Builder.This model distinguishes fields that are null because they are unset from fields that are explicitly set to null. This is done in the setter methods of the ClassMetrics.Builder, which maintain a set of all explicitly set fields calledClassMetrics.Builder.__explicitlySet__. ThehashCode()andequals(Object)methods are implemented to take the explicitly set fields into account. The constructor, on the other hand, does not take the explicitly set fields into account (since the constructor cannot distinguish explicit null from unset null).
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Nested Class SummaryNested Classes Modifier and Type Class Description static classClassMetrics.Builder
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Method SummaryAll Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static ClassMetrics.Builderbuilder()Create a new builder.booleanequals(Object o)FloatgetF1()F1-score, is a measure of a model\u2019s accuracy on a datasetStringgetLabel()Text classification labelFloatgetPrecision()Precision refers to the number of true positives divided by the total number of positive predictions (i.e., the number of true positives plus the number of false positives)FloatgetRecall()Measures the model’s ability to predict actual positive classes.FloatgetSupport()number of samples in the test setinthashCode()ClassMetrics.BuildertoBuilder()StringtoString()StringtoString(boolean includeByteArrayContents)Return a string representation of the object.
 
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Constructor Detail- 
ClassMetrics@Deprecated @ConstructorProperties({"label","f1","precision","recall","support"}) public ClassMetrics(String label, Float f1, Float precision, Float recall, Float support) Deprecated.
 
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Method Detail- 
builderpublic static ClassMetrics.Builder builder() Create a new builder.
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toBuilderpublic ClassMetrics.Builder toBuilder() 
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getLabelpublic String getLabel() Text classification label- Returns:
- the value
 
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getF1public Float getF1() F1-score, is a measure of a model\u2019s accuracy on a dataset- Returns:
- the value
 
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getPrecisionpublic Float getPrecision() Precision refers to the number of true positives divided by the total number of positive predictions (i.e., the number of true positives plus the number of false positives)- Returns:
- the value
 
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getRecallpublic Float getRecall() Measures the model’s ability to predict actual positive classes.It is the ratio between the predicted true positives and what was actually tagged. The recall metric reveals how many of the predicted classes are correct. - Returns:
- the value
 
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getSupportpublic Float getSupport() number of samples in the test set- Returns:
- the value
 
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toStringpublic String toString() - Overrides:
- toStringin class- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
 
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toStringpublic String toString(boolean includeByteArrayContents) Return a string representation of the object.- Parameters:
- includeByteArrayContents- true to include the full contents of byte arrays
- Returns:
- string representation
 
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equalspublic boolean equals(Object o) - Overrides:
- equalsin class- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
 
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hashCodepublic int hashCode() - Overrides:
- hashCodein class- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
 
 
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