📄 Source: GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix.php
<?php
/*
* Copyright 2014 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
namespace Google\Service\Aiplatform;
class GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix extends \Google\Collection
{
protected $collection_key = 'rows';
protected $annotationSpecsType = GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef::class;
protected $annotationSpecsDataType = 'array';
/**
* Rows in the confusion matrix. The number of rows is equal to the size of
* `annotationSpecs`. `rowsi` is the number of DataItems that have ground
* truth of the `annotationSpecs[i]` and are predicted as `annotationSpecs[j]`
* by the Model being evaluated. For Text Extraction, when
* `annotationSpecs[i]` is the last element in `annotationSpecs`, i.e. the
* special negative AnnotationSpec, `rowsi` is the number of predicted
* entities of `annoatationSpec[j]` that are not labeled as any of the ground
* truth AnnotationSpec. When annotationSpecs[j] is the special negative
* AnnotationSpec, `rowsi` is the number of entities have ground truth of
* `annotationSpec[i]` that are not predicted as an entity by the Model. The
* value of the last cell, i.e. `rowi` where i == j and `annotationSpec[i]` is
* the special negative AnnotationSpec, is always 0.
*
* @var array[]
*/
public $rows;
/**
* AnnotationSpecs used in the confusion matrix. For AutoML Text Extraction, a
* special negative AnnotationSpec with empty `id` and `displayName` of "NULL"
* will be added as the last element.
*
* @param GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef[] $annotationSpecs
*/
public function setAnnotationSpecs($annotationSpecs)
{
$this->annotationSpecs = $annotationSpecs;
}
/**
* @return GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrixAnnotationSpecRef[]
*/
public function getAnnotationSpecs()
{
return $this->annotationSpecs;
}
/**
* Rows in the confusion matrix. The number of rows is equal to the size of
* `annotationSpecs`. `rowsi` is the number of DataItems that have ground
* truth of the `annotationSpecs[i]` and are predicted as `annotationSpecs[j]`
* by the Model being evaluated. For Text Extraction, when
* `annotationSpecs[i]` is the last element in `annotationSpecs`, i.e. the
* special negative AnnotationSpec, `rowsi` is the number of predicted
* entities of `annoatationSpec[j]` that are not labeled as any of the ground
* truth AnnotationSpec. When annotationSpecs[j] is the special negative
* AnnotationSpec, `rowsi` is the number of entities have ground truth of
* `annotationSpec[i]` that are not predicted as an entity by the Model. The
* value of the last cell, i.e. `rowi` where i == j and `annotationSpec[i]` is
* the special negative AnnotationSpec, is always 0.
*
* @param array[] $rows
*/
public function setRows($rows)
{
$this->rows = $rows;
}
/**
* @return array[]
*/
public function getRows()
{
return $this->rows;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix');
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