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.ExplicitlySetBmcModel
class 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 Summary
Nested Classes Modifier and Type Class Description static class
ClassMetrics.Builder
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static ClassMetrics.Builder
builder()
Create a new builder.boolean
equals(Object o)
Float
getF1()
F1-score, is a measure of a model\u2019s accuracy on a datasetString
getLabel()
Text classification labelFloat
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)Float
getRecall()
Measures the model’s ability to predict actual positive classes.Float
getSupport()
number of samples in the test setint
hashCode()
ClassMetrics.Builder
toBuilder()
String
toString()
String
toString(boolean includeByteArrayContents)
Return a string representation of the object.
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Constructor Detail
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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
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builder
public static ClassMetrics.Builder builder()
Create a new builder.
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toBuilder
public ClassMetrics.Builder toBuilder()
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getLabel
public String getLabel()
Text classification 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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getSupport
public Float getSupport()
number of samples in the test set- Returns:
- the value
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toString
public String toString()
- Overrides:
toString
in 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:
equals
in classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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hashCode
public int hashCode()
- Overrides:
hashCode
in classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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