Cloud AutoML V1beta1 Client - Class ConfusionMatrix (1.6.5)

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• 2.0.3 (latest)
• 2.0.2
• 1.6.5
• 1.5.4
• 1.4.17

Beta

This library is covered by the Pre-GA Offerings Terms of the Terms of Service. Pre-GA libraries might have limited support, and changes to pre-GA libraries might not be compatible with other pre-GA versions. For more information, see the launch stage descriptions.

Reference documentation and code samples for the Cloud AutoML V1beta1 Client class ConfusionMatrix.

Confusion matrix of the model running the classification.

Generated from protobuf message google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix

Namespace

Google \ Cloud \ AutoMl \ V1beta1 \ ClassificationEvaluationMetrics

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ annotation_spec_id	array Output only. IDs of the annotation specs used in the confusion matrix. For Tables CLASSIFICATION prediction_type only list of annotation_spec_display_name-s is populated.
↳ display_name	array Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.
↳ row	array<Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfusionMatrix\Row> Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id. row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

getAnnotationSpecId

Output only. IDs of the annotation specs used in the confusion matrix.

For Tables CLASSIFICATION prediction_type only list of annotation_spec_display_name-s is populated.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setAnnotationSpecId

Output only. IDs of the annotation specs used in the confusion matrix.

For Tables CLASSIFICATION prediction_type only list of annotation_spec_display_name-s is populated.

Parameter
Name	Description
var	string[]

Returns
Type	Description
$this

getDisplayName

Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setDisplayName

Output only. Display name of the annotation specs used in the confusion matrix, as they were at the moment of the evaluation. For Tables CLASSIFICATION prediction_type-s, distinct values of the target column at the moment of the model evaluation are populated here.

Parameter
Name	Description
var	string[]

Returns
Type	Description
$this

getRow

Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id.

row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setRow

Output only. Rows in the confusion matrix. The number of rows is equal to the size of annotation_spec_id.

row[i].example_count[j] is the number of examples that have ground truth of the annotation_spec_id[i] and are predicted as annotation_spec_id[j] by the model being evaluated.

Parameter
Name	Description
var	array<Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfusionMatrix\Row>

Returns
Type	Description
$this