public final class TextExtractionEvaluationMetrics extends GeneratedMessageV3 implements TextExtractionEvaluationMetricsOrBuilder
Model evaluation metrics for text extraction problems.
Protobuf type google.cloud.automl.v1.TextExtractionEvaluationMetrics
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields
public static final int AU_PRC_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
public static final int CONFIDENCE_METRICS_ENTRIES_FIELD_NUMBER
Field Value |
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Type | Description |
int | |
Static Methods
public static TextExtractionEvaluationMetrics getDefaultInstance()
public static final Descriptors.Descriptor getDescriptor()
public static TextExtractionEvaluationMetrics.Builder newBuilder()
public static TextExtractionEvaluationMetrics.Builder newBuilder(TextExtractionEvaluationMetrics prototype)
public static TextExtractionEvaluationMetrics parseDelimitedFrom(InputStream input)
public static TextExtractionEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextExtractionEvaluationMetrics parseFrom(byte[] data)
Parameter |
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Name | Description |
data | byte[]
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public static TextExtractionEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static TextExtractionEvaluationMetrics parseFrom(ByteString data)
public static TextExtractionEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static TextExtractionEvaluationMetrics parseFrom(CodedInputStream input)
public static TextExtractionEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static TextExtractionEvaluationMetrics parseFrom(InputStream input)
public static TextExtractionEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static TextExtractionEvaluationMetrics parseFrom(ByteBuffer data)
public static TextExtractionEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Parser<TextExtractionEvaluationMetrics> parser()
Methods
public boolean equals(Object obj)
Parameter |
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Name | Description |
obj | Object
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Overrides
Output only. The Area under precision recall curve metric.
float au_prc = 1;
Returns |
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Type | Description |
float | The auPrc.
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public TextExtractionEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index)
Output only. Metrics that have confidence thresholds.
Precision-recall curve can be derived from it.
repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
Parameter |
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Name | Description |
index | int
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public int getConfidenceMetricsEntriesCount()
Output only. Metrics that have confidence thresholds.
Precision-recall curve can be derived from it.
repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
Returns |
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Type | Description |
int | |
public List<TextExtractionEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()
Output only. Metrics that have confidence thresholds.
Precision-recall curve can be derived from it.
repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
public TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index)
Output only. Metrics that have confidence thresholds.
Precision-recall curve can be derived from it.
repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
Parameter |
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Name | Description |
index | int
|
public List<? extends TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()
Output only. Metrics that have confidence thresholds.
Precision-recall curve can be derived from it.
repeated .google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entries = 2;
Returns |
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Type | Description |
List<? extends com.google.cloud.automl.v1.TextExtractionEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> | |
public TextExtractionEvaluationMetrics getDefaultInstanceForType()
public Parser<TextExtractionEvaluationMetrics> getParserForType()
Overrides
public int getSerializedSize()
Returns |
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Type | Description |
int | |
Overrides
Returns |
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Type | Description |
int | |
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public TextExtractionEvaluationMetrics.Builder newBuilderForType()
protected TextExtractionEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
public TextExtractionEvaluationMetrics.Builder toBuilder()
public void writeTo(CodedOutputStream output)
Overrides