Cloud AutoML V1beta1 API - Class Google::Cloud::AutoML::V1beta1::ModelEvaluation (v0.7.0)

Reference documentation and code samples for the Cloud AutoML V1beta1 API class Google::Cloud::AutoML::V1beta1::ModelEvaluation.

Evaluation results of a model.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#annotation_spec_id

def annotation_spec_id() -> ::String
Returns
  • (::String) — Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION

    [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] the display_name field is used.

#annotation_spec_id=

def annotation_spec_id=(value) -> ::String
Parameter
  • value (::String) — Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION

    [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] the display_name field is used.

Returns
  • (::String) — Output only. The ID of the annotation spec that the model evaluation applies to. The The ID is empty for the overall model evaluation. For Tables annotation specs in the dataset do not exist and this ID is always not set, but for CLASSIFICATION

    [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] the display_name field is used.

#classification_evaluation_metrics

def classification_evaluation_metrics() -> ::Google::Cloud::AutoML::V1beta1::ClassificationEvaluationMetrics
Returns

#classification_evaluation_metrics=

def classification_evaluation_metrics=(value) -> ::Google::Cloud::AutoML::V1beta1::ClassificationEvaluationMetrics
Parameter
Returns

#create_time

def create_time() -> ::Google::Protobuf::Timestamp
Returns

#create_time=

def create_time=(value) -> ::Google::Protobuf::Timestamp
Parameter
Returns

#display_name

def display_name() -> ::String
Returns
  • (::String) — Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION

    [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.

#display_name=

def display_name=(value) -> ::String
Parameter
  • value (::String) — Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION

    [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.

Returns
  • (::String) — Output only. The value of display_name at the moment when the model was trained. Because this field returns a value at model training time, for different models trained from the same dataset, the values may differ, since display names could had been changed between the two model's trainings. For Tables CLASSIFICATION

    [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type] distinct values of the target column at the moment of the model evaluation are populated here. The display_name is empty for the overall model evaluation.

#evaluated_example_count

def evaluated_example_count() -> ::Integer
Returns
  • (::Integer) — Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the

    annotation_spec_id.

#evaluated_example_count=

def evaluated_example_count=(value) -> ::Integer
Parameter
  • value (::Integer) — Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the

    annotation_spec_id.

Returns
  • (::Integer) — Output only. The number of examples used for model evaluation, i.e. for which ground truth from time of model creation is compared against the predicted annotations created by the model. For overall ModelEvaluation (i.e. with annotation_spec_id not set) this is the total number of all examples used for evaluation. Otherwise, this is the count of examples that according to the ground truth were annotated by the

    annotation_spec_id.

#image_object_detection_evaluation_metrics

def image_object_detection_evaluation_metrics() -> ::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionEvaluationMetrics
Returns

#image_object_detection_evaluation_metrics=

def image_object_detection_evaluation_metrics=(value) -> ::Google::Cloud::AutoML::V1beta1::ImageObjectDetectionEvaluationMetrics
Parameter
Returns

#name

def name() -> ::String
Returns
  • (::String) — Output only. Resource name of the model evaluation. Format:

    projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}

#name=

def name=(value) -> ::String
Parameter
  • value (::String) — Output only. Resource name of the model evaluation. Format:

    projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}

Returns
  • (::String) — Output only. Resource name of the model evaluation. Format:

    projects/{project_id}/locations/{location_id}/models/{model_id}/modelEvaluations/{model_evaluation_id}

#regression_evaluation_metrics

def regression_evaluation_metrics() -> ::Google::Cloud::AutoML::V1beta1::RegressionEvaluationMetrics
Returns

#regression_evaluation_metrics=

def regression_evaluation_metrics=(value) -> ::Google::Cloud::AutoML::V1beta1::RegressionEvaluationMetrics
Parameter
Returns

#text_extraction_evaluation_metrics

def text_extraction_evaluation_metrics() -> ::Google::Cloud::AutoML::V1beta1::TextExtractionEvaluationMetrics
Returns

#text_extraction_evaluation_metrics=

def text_extraction_evaluation_metrics=(value) -> ::Google::Cloud::AutoML::V1beta1::TextExtractionEvaluationMetrics
Parameter
Returns

#text_sentiment_evaluation_metrics

def text_sentiment_evaluation_metrics() -> ::Google::Cloud::AutoML::V1beta1::TextSentimentEvaluationMetrics
Returns

#text_sentiment_evaluation_metrics=

def text_sentiment_evaluation_metrics=(value) -> ::Google::Cloud::AutoML::V1beta1::TextSentimentEvaluationMetrics
Parameter
Returns

#translation_evaluation_metrics

def translation_evaluation_metrics() -> ::Google::Cloud::AutoML::V1beta1::TranslationEvaluationMetrics
Returns

#translation_evaluation_metrics=

def translation_evaluation_metrics=(value) -> ::Google::Cloud::AutoML::V1beta1::TranslationEvaluationMetrics
Parameter
Returns

#video_object_tracking_evaluation_metrics

def video_object_tracking_evaluation_metrics() -> ::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingEvaluationMetrics
Returns

#video_object_tracking_evaluation_metrics=

def video_object_tracking_evaluation_metrics=(value) -> ::Google::Cloud::AutoML::V1beta1::VideoObjectTrackingEvaluationMetrics
Parameter
Returns