Package com.oracle.bmc.ailanguage.model
Class EntityMetrics
- java.lang.Object
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- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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- com.oracle.bmc.ailanguage.model.EntityMetrics
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@Generated(value="OracleSDKGenerator", comments="API Version: 20221001") public final class EntityMetrics extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModelEntity level named entity recognition model metrics
Note: Objects should always be created or deserialized using theEntityMetrics.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
EntityMetrics.Builder, which maintain a set of all explicitly set fields calledEntityMetrics.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 Summary
Nested Classes Modifier and Type Class Description static classEntityMetrics.Builder
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Constructor Summary
Constructors Constructor Description EntityMetrics(String label, Float f1, Float precision, Float recall)Deprecated.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static EntityMetrics.Builderbuilder()Create a new builder.booleanequals(Object o)FloatgetF1()F1-score, is a measure of a model\u2019s accuracy on a datasetStringgetLabel()Entity 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.inthashCode()EntityMetrics.BuildertoBuilder()StringtoString()StringtoString(boolean includeByteArrayContents)Return a string representation of the object.
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Constructor Detail
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EntityMetrics
@Deprecated @ConstructorProperties({"label","f1","precision","recall"}) public EntityMetrics(String label, Float f1, Float precision, Float recall)
Deprecated.
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Method Detail
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builder
public static EntityMetrics.Builder builder()
Create a new builder.
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toBuilder
public EntityMetrics.Builder toBuilder()
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getLabel
public String getLabel()
Entity label- Returns:
- the value
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getF1
public Float getF1()
F1-score, is a measure of a model\u2019s accuracy on a dataset- Returns:
- the value
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getPrecision
public 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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getRecall
public 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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toString
public String toString()
- Overrides:
toStringin classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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toString
public 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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equals
public boolean equals(Object o)
- Overrides:
equalsin classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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hashCode
public int hashCode()
- Overrides:
hashCodein classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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