Google Cloud Ai Platform V1 Client - Class EvaluatedAnnotation (0.19.0)

Version 0.19.0

• 0.39.0 (latest)
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class EvaluatedAnnotation.

True positive, false positive, or false negative.

EvaluatedAnnotation is only available under ModelEvaluationSlice with slice of annotationSpec dimension.

Generated from protobuf message google.cloud.aiplatform.v1.EvaluatedAnnotation

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ type	int Output only. Type of the EvaluatedAnnotation.
↳ predictions	array<Google\Protobuf\Value> Output only. The model predicted annotations. For true positive, there is one and only one prediction, which matches the only one ground truth annotation in ground_truths. For false positive, there is one and only one prediction, which doesn't match any ground truth annotation of the corresponding data_item_view_id. For false negative, there are zero or more predictions which are similar to the only ground truth annotation in ground_truths but not enough for a match. The schema of the prediction is stored in ModelEvaluation.annotation_schema_uri
↳ ground_truths	array<Google\Protobuf\Value> Output only. The ground truth Annotations, i.e. the Annotations that exist in the test data the Model is evaluated on. For true positive, there is one and only one ground truth annotation, which matches the only prediction in predictions. For false positive, there are zero or more ground truth annotations that are similar to the only prediction in predictions, but not enough for a match. For false negative, there is one and only one ground truth annotation, which doesn't match any predictions created by the model. The schema of the ground truth is stored in ModelEvaluation.annotation_schema_uri
↳ data_item_payload	Google\Protobuf\Value Output only. The data item payload that the Model predicted this EvaluatedAnnotation on.
↳ evaluated_data_item_view_id	string Output only. ID of the EvaluatedDataItemView under the same ancestor ModelEvaluation. The EvaluatedDataItemView consists of all ground truths and predictions on data_item_payload.
↳ explanations	array<Google\Cloud\AIPlatform\V1\EvaluatedAnnotationExplanation> Explanations of predictions. Each element of the explanations indicates the explanation for one explanation Method. The attributions list in the EvaluatedAnnotationExplanation.explanation object corresponds to the predictions list. For example, the second element in the attributions list explains the second element in the predictions list.
↳ error_analysis_annotations	array<Google\Cloud\AIPlatform\V1\ErrorAnalysisAnnotation> Annotations of model error analysis results.

getType

Output only. Type of the EvaluatedAnnotation.

Returns
Type	Description
int

setType

Output only. Type of the EvaluatedAnnotation.

Parameter
Name	Description
var	int

Returns
Type	Description
$this

getPredictions

Output only. The model predicted annotations.

For true positive, there is one and only one prediction, which matches the only one ground truth annotation in ground_truths. For false positive, there is one and only one prediction, which doesn't match any ground truth annotation of the corresponding data_item_view_id. For false negative, there are zero or more predictions which are similar to the only ground truth annotation in ground_truths but not enough for a match. The schema of the prediction is stored in ModelEvaluation.annotation_schema_uri

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setPredictions

Output only. The model predicted annotations.

For true positive, there is one and only one prediction, which matches the only one ground truth annotation in ground_truths. For false positive, there is one and only one prediction, which doesn't match any ground truth annotation of the corresponding data_item_view_id. For false negative, there are zero or more predictions which are similar to the only ground truth annotation in ground_truths but not enough for a match. The schema of the prediction is stored in ModelEvaluation.annotation_schema_uri

Parameter
Name	Description
var	array<Google\Protobuf\Value>

Returns
Type	Description
$this

getGroundTruths

Output only. The ground truth Annotations, i.e. the Annotations that exist in the test data the Model is evaluated on.

For true positive, there is one and only one ground truth annotation, which matches the only prediction in predictions. For false positive, there are zero or more ground truth annotations that are similar to the only prediction in predictions, but not enough for a match. For false negative, there is one and only one ground truth annotation, which doesn't match any predictions created by the model. The schema of the ground truth is stored in ModelEvaluation.annotation_schema_uri

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setGroundTruths

Output only. The ground truth Annotations, i.e. the Annotations that exist in the test data the Model is evaluated on.

For true positive, there is one and only one ground truth annotation, which matches the only prediction in predictions. For false positive, there are zero or more ground truth annotations that are similar to the only prediction in predictions, but not enough for a match. For false negative, there is one and only one ground truth annotation, which doesn't match any predictions created by the model. The schema of the ground truth is stored in ModelEvaluation.annotation_schema_uri

Parameter
Name	Description
var	array<Google\Protobuf\Value>

Returns
Type	Description
$this

getDataItemPayload

Output only. The data item payload that the Model predicted this EvaluatedAnnotation on.

Returns
Type	Description
Google\Protobuf\Value|null

hasDataItemPayload

clearDataItemPayload

setDataItemPayload

Output only. The data item payload that the Model predicted this EvaluatedAnnotation on.

Parameter
Name	Description
var	Google\Protobuf\Value

Returns
Type	Description
$this

getEvaluatedDataItemViewId

Output only. ID of the EvaluatedDataItemView under the same ancestor ModelEvaluation. The EvaluatedDataItemView consists of all ground truths and predictions on data_item_payload.

Returns
Type	Description
string

setEvaluatedDataItemViewId

Output only. ID of the EvaluatedDataItemView under the same ancestor ModelEvaluation. The EvaluatedDataItemView consists of all ground truths and predictions on data_item_payload.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getExplanations

Explanations of predictions.

Each element of the explanations indicates the explanation for one explanation Method. The attributions list in the EvaluatedAnnotationExplanation.explanation object corresponds to the predictions list. For example, the second element in the attributions list explains the second element in the predictions list.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setExplanations

Explanations of predictions.

Each element of the explanations indicates the explanation for one explanation Method. The attributions list in the EvaluatedAnnotationExplanation.explanation object corresponds to the predictions list. For example, the second element in the attributions list explains the second element in the predictions list.

Parameter
Name	Description
var	array<Google\Cloud\AIPlatform\V1\EvaluatedAnnotationExplanation>

Returns
Type	Description
$this

getErrorAnalysisAnnotations

Annotations of model error analysis results.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setErrorAnalysisAnnotations

Annotations of model error analysis results.

Parameter
Name	Description
var	array<Google\Cloud\AIPlatform\V1\ErrorAnalysisAnnotation>

Returns
Type	Description
$this