public final class ClassificationEvaluationMetrics extends GeneratedMessageV3 implements ClassificationEvaluationMetricsOrBuilder
Model evaluation metrics for classification problems.
Note: For Video Classification this metrics only describe quality of the
Video Classification predictions of "segment_classification" type.
Protobuf type google.cloud.automl.v1.ClassificationEvaluationMetrics
Static Fields
ANNOTATION_SPEC_ID_FIELD_NUMBER
public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER
Field Value
AU_PRC_FIELD_NUMBER
public static final int AU_PRC_FIELD_NUMBER
Field Value
AU_ROC_FIELD_NUMBER
public static final int AU_ROC_FIELD_NUMBER
Field Value
CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER
public static final int CONFIDENCE_METRICS_ENTRY_FIELD_NUMBER
Field Value
CONFUSION_MATRIX_FIELD_NUMBER
public static final int CONFUSION_MATRIX_FIELD_NUMBER
Field Value
LOG_LOSS_FIELD_NUMBER
public static final int LOG_LOSS_FIELD_NUMBER
Field Value
Static Methods
getDefaultInstance()
public static ClassificationEvaluationMetrics getDefaultInstance()
Returns
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
newBuilder()
public static ClassificationEvaluationMetrics.Builder newBuilder()
Returns
newBuilder(ClassificationEvaluationMetrics prototype)
public static ClassificationEvaluationMetrics.Builder newBuilder(ClassificationEvaluationMetrics prototype)
Parameter
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public static ClassificationEvaluationMetrics parseDelimitedFrom(InputStream input)
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Exceptions
public static ClassificationEvaluationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(byte[] data)
public static ClassificationEvaluationMetrics parseFrom(byte[] data)
Parameter
| Name | Description |
| data | byte[]
|
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Exceptions
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ClassificationEvaluationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(ByteString data)
public static ClassificationEvaluationMetrics parseFrom(ByteString data)
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Exceptions
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ClassificationEvaluationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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Exceptions
public static ClassificationEvaluationMetrics parseFrom(CodedInputStream input)
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Exceptions
public static ClassificationEvaluationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public static ClassificationEvaluationMetrics parseFrom(InputStream input)
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Exceptions
public static ClassificationEvaluationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
parseFrom(ByteBuffer data)
public static ClassificationEvaluationMetrics parseFrom(ByteBuffer data)
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Exceptions
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ClassificationEvaluationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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Exceptions
parser()
public static Parser<ClassificationEvaluationMetrics> parser()
Returns
Methods
equals(Object obj)
public boolean equals(Object obj)
Parameter
Returns
Overrides
getAnnotationSpecId(int index)
public String getAnnotationSpecId(int index)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;
| Name | Description |
| index | int
The index of the element to return.
|
Returns
| Type | Description |
| String | The annotationSpecId at the given index.
|
getAnnotationSpecIdBytes(int index)
public ByteString getAnnotationSpecIdBytes(int index)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;
| Name | Description |
| index | int
The index of the value to return.
|
Returns
| Type | Description |
| ByteString | The bytes of the annotationSpecId at the given index.
|
getAnnotationSpecIdCount()
public int getAnnotationSpecIdCount()
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;
| Type | Description |
| int | The count of annotationSpecId.
|
getAnnotationSpecIdList()
public ProtocolStringList getAnnotationSpecIdList()
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;
getAuPrc()
Output only. The Area Under Precision-Recall Curve metric. Micro-averaged
for the overall evaluation.
float au_prc = 1;
| Type | Description |
| float | The auPrc.
|
getAuRoc()
Output only. The Area Under Receiver Operating Characteristic curve metric.
Micro-averaged for the overall evaluation.
float au_roc = 6;
| Type | Description |
| float | The auRoc.
|
getConfidenceMetricsEntry(int index)
public ClassificationEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntry(int index)
Output only. Metrics for each confidence_threshold in
0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
position_threshold = INT32_MAX_VALUE.
ROC and precision-recall curves, and other aggregated metrics are derived
from them. The confidence metrics entries may also be supplied for
additional values of position_threshold, but from these no aggregated
metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryCount()
public int getConfidenceMetricsEntryCount()
Output only. Metrics for each confidence_threshold in
0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
position_threshold = INT32_MAX_VALUE.
ROC and precision-recall curves, and other aggregated metrics are derived
from them. The confidence metrics entries may also be supplied for
additional values of position_threshold, but from these no aggregated
metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryList()
public List<ClassificationEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntryList()
Output only. Metrics for each confidence_threshold in
0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
position_threshold = INT32_MAX_VALUE.
ROC and precision-recall curves, and other aggregated metrics are derived
from them. The confidence metrics entries may also be supplied for
additional values of position_threshold, but from these no aggregated
metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryOrBuilder(int index)
public ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntryOrBuilder(int index)
Output only. Metrics for each confidence_threshold in
0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
position_threshold = INT32_MAX_VALUE.
ROC and precision-recall curves, and other aggregated metrics are derived
from them. The confidence metrics entries may also be supplied for
additional values of position_threshold, but from these no aggregated
metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryOrBuilderList()
public List<? extends ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntryOrBuilderList()
Output only. Metrics for each confidence_threshold in
0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and
position_threshold = INT32_MAX_VALUE.
ROC and precision-recall curves, and other aggregated metrics are derived
from them. The confidence metrics entries may also be supplied for
additional values of position_threshold, but from these no aggregated
metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
| Type | Description |
| List<? extends com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> | |
getConfusionMatrix()
public ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix()
Output only. Confusion matrix of the evaluation.
Only set for MULTICLASS classification problems where number
of labels is no more than 10.
Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
getConfusionMatrixOrBuilder()
public ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder()
Output only. Confusion matrix of the evaluation.
Only set for MULTICLASS classification problems where number
of labels is no more than 10.
Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
getDefaultInstanceForType()
public ClassificationEvaluationMetrics getDefaultInstanceForType()
Returns
getLogLoss()
public float getLogLoss()
Output only. The Log Loss metric.
float log_loss = 7;
| Type | Description |
| float | The logLoss.
|
getParserForType()
public Parser<ClassificationEvaluationMetrics> getParserForType()
Returns
Overrides
getSerializedSize()
public int getSerializedSize()
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Overrides
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Returns
Overrides
hasConfusionMatrix()
public boolean hasConfusionMatrix()
Output only. Confusion matrix of the evaluation.
Only set for MULTICLASS classification problems where number
of labels is no more than 10.
Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
| Type | Description |
| boolean | Whether the confusionMatrix field is set.
|
hashCode()
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Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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Overrides
isInitialized()
public final boolean isInitialized()
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Overrides
newBuilderForType()
public ClassificationEvaluationMetrics.Builder newBuilderForType()
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newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ClassificationEvaluationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
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Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
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Overrides
toBuilder()
public ClassificationEvaluationMetrics.Builder toBuilder()
Returns
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Parameter
Overrides
Exceptions
