Cloud AutoML V1 API - Class Google::Cloud::AutoML::V1::Model (v0.10.0)

Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::Model.

API proto representing a trained machine learning model.

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#create_time

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

Returns

(::Google::Protobuf::Timestamp) — Output only. Timestamp when the model training finished and can be used for prediction.

#create_time=

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

Parameter

value (::Google::Protobuf::Timestamp) — Output only. Timestamp when the model training finished and can be used for prediction.

Returns

(::Google::Protobuf::Timestamp) — Output only. Timestamp when the model training finished and can be used for prediction.

#dataset_id

def dataset_id() -> ::String

Returns

(::String) — Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

#dataset_id=

def dataset_id=(value) -> ::String

Parameter

value (::String) — Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

Returns

(::String) — Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

#deployment_state

def deployment_state() -> ::Google::Cloud::AutoML::V1::Model::DeploymentState

Returns

(::Google::Cloud::AutoML::V1::Model::DeploymentState) — Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

#deployment_state=

def deployment_state=(value) -> ::Google::Cloud::AutoML::V1::Model::DeploymentState

Parameter

value (::Google::Cloud::AutoML::V1::Model::DeploymentState) — Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

Returns

(::Google::Cloud::AutoML::V1::Model::DeploymentState) — Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

#display_name

def display_name() -> ::String

Returns

(::String) — Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

#display_name=

def display_name=(value) -> ::String

Parameter

value (::String) — Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

Returns

(::String) — Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

#etag

def etag() -> ::String

Returns

(::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

#etag=

def etag=(value) -> ::String

Parameter

value (::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

Returns

(::String) — Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

#image_classification_model_metadata

def image_classification_model_metadata() -> ::Google::Cloud::AutoML::V1::ImageClassificationModelMetadata

Returns

(::Google::Cloud::AutoML::V1::ImageClassificationModelMetadata) — Metadata for image classification models.

#image_classification_model_metadata=

def image_classification_model_metadata=(value) -> ::Google::Cloud::AutoML::V1::ImageClassificationModelMetadata

Parameter

value (::Google::Cloud::AutoML::V1::ImageClassificationModelMetadata) — Metadata for image classification models.

Returns

(::Google::Cloud::AutoML::V1::ImageClassificationModelMetadata) — Metadata for image classification models.

#image_object_detection_model_metadata

def image_object_detection_model_metadata() -> ::Google::Cloud::AutoML::V1::ImageObjectDetectionModelMetadata

Returns

(::Google::Cloud::AutoML::V1::ImageObjectDetectionModelMetadata) — Metadata for image object detection models.

#image_object_detection_model_metadata=

def image_object_detection_model_metadata=(value) -> ::Google::Cloud::AutoML::V1::ImageObjectDetectionModelMetadata

Parameter

value (::Google::Cloud::AutoML::V1::ImageObjectDetectionModelMetadata) — Metadata for image object detection models.

Returns

(::Google::Cloud::AutoML::V1::ImageObjectDetectionModelMetadata) — Metadata for image object detection models.

#labels

def labels() -> ::Google::Protobuf::Map{::String => ::String}

Returns

(::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

#labels=

def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}

Parameter

value (::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

Returns

(::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

#name

def name() -> ::String

Returns

(::String) — Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

#name=

def name=(value) -> ::String

Parameter

value (::String) — Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

Returns

(::String) — Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

#text_classification_model_metadata

def text_classification_model_metadata() -> ::Google::Cloud::AutoML::V1::TextClassificationModelMetadata

Returns

(::Google::Cloud::AutoML::V1::TextClassificationModelMetadata) — Metadata for text classification models.

#text_classification_model_metadata=

def text_classification_model_metadata=(value) -> ::Google::Cloud::AutoML::V1::TextClassificationModelMetadata

Parameter

value (::Google::Cloud::AutoML::V1::TextClassificationModelMetadata) — Metadata for text classification models.

Returns

(::Google::Cloud::AutoML::V1::TextClassificationModelMetadata) — Metadata for text classification models.

#text_extraction_model_metadata

def text_extraction_model_metadata() -> ::Google::Cloud::AutoML::V1::TextExtractionModelMetadata

Returns

(::Google::Cloud::AutoML::V1::TextExtractionModelMetadata) — Metadata for text extraction models.

#text_extraction_model_metadata=

def text_extraction_model_metadata=(value) -> ::Google::Cloud::AutoML::V1::TextExtractionModelMetadata

Parameter

value (::Google::Cloud::AutoML::V1::TextExtractionModelMetadata) — Metadata for text extraction models.

Returns

(::Google::Cloud::AutoML::V1::TextExtractionModelMetadata) — Metadata for text extraction models.

#text_sentiment_model_metadata

def text_sentiment_model_metadata() -> ::Google::Cloud::AutoML::V1::TextSentimentModelMetadata

Returns

(::Google::Cloud::AutoML::V1::TextSentimentModelMetadata) — Metadata for text sentiment models.

#text_sentiment_model_metadata=

def text_sentiment_model_metadata=(value) -> ::Google::Cloud::AutoML::V1::TextSentimentModelMetadata

Parameter

value (::Google::Cloud::AutoML::V1::TextSentimentModelMetadata) — Metadata for text sentiment models.

Returns

(::Google::Cloud::AutoML::V1::TextSentimentModelMetadata) — Metadata for text sentiment models.

#translation_model_metadata

def translation_model_metadata() -> ::Google::Cloud::AutoML::V1::TranslationModelMetadata

Returns

(::Google::Cloud::AutoML::V1::TranslationModelMetadata) — Metadata for translation models.

#translation_model_metadata=

def translation_model_metadata=(value) -> ::Google::Cloud::AutoML::V1::TranslationModelMetadata

Parameter

value (::Google::Cloud::AutoML::V1::TranslationModelMetadata) — Metadata for translation models.

Returns

(::Google::Cloud::AutoML::V1::TranslationModelMetadata) — Metadata for translation models.

#update_time

def update_time() -> ::Google::Protobuf::Timestamp

Returns

(::Google::Protobuf::Timestamp) — Output only. Timestamp when this model was last updated.

#update_time=

def update_time=(value) -> ::Google::Protobuf::Timestamp

Parameter

value (::Google::Protobuf::Timestamp) — Output only. Timestamp when this model was last updated.

Returns

(::Google::Protobuf::Timestamp) — Output only. Timestamp when this model was last updated.