Interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder (2.49.0)

public static interface ClassificationProto.ClassificationEvaluationMetricsOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAnnotationSpecId(int index)

public abstract String getAnnotationSpecId(int index)

Output only. The annotation spec ids used for this evaluation.

repeated string annotation_spec_id = 5;

Parameter
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 abstract ByteString getAnnotationSpecIdBytes(int index)

Output only. The annotation spec ids used for this evaluation.

repeated string annotation_spec_id = 5;

Parameter
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 abstract int getAnnotationSpecIdCount()

Output only. The annotation spec ids used for this evaluation.

repeated string annotation_spec_id = 5;

Returns
Type	Description
`int`	The count of annotationSpecId.

getAnnotationSpecIdList()

public abstract List<String> getAnnotationSpecIdList()

Output only. The annotation spec ids used for this evaluation.

repeated string annotation_spec_id = 5;

Returns
Type	Description
`List<String>`	A list containing the annotationSpecId.

getAuPrc()

public abstract float getAuPrc()

Output only. The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation.

float au_prc = 1;

Returns
Type	Description
`float`	The auPrc.

getAuRoc()

public abstract float getAuRoc()

Output only. The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.

float au_roc = 6;

Returns
Type	Description
`float`	The auRoc.

getBaseAuPrc() (deprecated)

public abstract float getBaseAuPrc()

Deprecated. google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.base_au_prc is deprecated. See google/cloud/automl/v1beta1/classification.proto;l=188

Output only. The Area Under Precision-Recall Curve metric based on priors. Micro-averaged for the overall evaluation. Deprecated.

float base_au_prc = 2 [deprecated = true];

Returns
Type	Description
`float`	The baseAuPrc.

getConfidenceMetricsEntry(int index)

public abstract ClassificationProto.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.