Cloud AutoML V1beta1 Client - Class TextSentimentEvaluationMetrics (1.6.5)

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

Model evaluation metrics for text sentiment problems.

Generated from protobuf message google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics

Namespace

Google \ Cloud \ AutoMl \ V1beta1

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.

↳ precision float

Output only. Precision.

↳ recall float

Output only. Recall.

↳ f1_score float

Output only. The harmonic mean of recall and precision.

↳ mean_absolute_error float

Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

↳ mean_squared_error float

Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

↳ linear_kappa float

Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

↳ quadratic_kappa float

Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

↳ confusion_matrix Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfusionMatrix

Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

↳ annotation_spec_id array

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

getPrecision

Output only. Precision.

Returns
Type Description
float

setPrecision

Output only. Precision.

Parameter
Name Description
var float
Returns
Type Description
$this

getRecall

Output only. Recall.

Returns
Type Description
float

setRecall

Output only. Recall.

Parameter
Name Description
var float
Returns
Type Description
$this

getF1Score

Output only. The harmonic mean of recall and precision.

Returns
Type Description
float

setF1Score

Output only. The harmonic mean of recall and precision.

Parameter
Name Description
var float
Returns
Type Description
$this

getMeanAbsoluteError

Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Returns
Type Description
float

setMeanAbsoluteError

Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Parameter
Name Description
var float
Returns
Type Description
$this

getMeanSquaredError

Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Returns
Type Description
float

setMeanSquaredError

Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Parameter
Name Description
var float
Returns
Type Description
$this

getLinearKappa

Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Returns
Type Description
float

setLinearKappa

Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Parameter
Name Description
var float
Returns
Type Description
$this

getQuadraticKappa

Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Returns
Type Description
float

setQuadraticKappa

Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Parameter
Name Description
var float
Returns
Type Description
$this

getConfusionMatrix

Output only. Confusion matrix of the evaluation.

Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Returns
Type Description
Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfusionMatrix|null

hasConfusionMatrix

clearConfusionMatrix

setConfusionMatrix

Output only. Confusion matrix of the evaluation.

Only set for the overall model evaluation, not for evaluation of a single annotation spec.

Parameter
Name Description
var Google\Cloud\AutoMl\V1beta1\ClassificationEvaluationMetrics\ConfusionMatrix
Returns
Type Description
$this

getAnnotationSpecId

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

Deprecated .

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setAnnotationSpecId

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

Deprecated .

Parameter
Name Description
var string[]
Returns
Type Description
$this