PredictionService¶
- class google.cloud.automl_v1.services.prediction_service.PredictionServiceAsyncClient(*, credentials: google.auth.credentials.Credentials = None, transport: Union[str, google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport] = 'grpc_asyncio', client_options: <module 'google.api_core.client_options' from '/usr/lib/python3.10/site-packages/google/api_core/client_options.py'> = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶
AutoML Prediction API.
On any input that is documented to expect a string parameter in snake_case or kebab-case, either of those cases is accepted.
Instantiates the prediction service client.
- Parameters
credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Union[str, PredictionServiceTransport]) – The transport to use. If set to None, a transport is chosen automatically.
client_options (ClientOptions) – Custom options for the client. It won’t take effect if a
transport
instance is provided. (1) Theapi_endpoint
property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, theapi_endpoint
property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then theclient_cert_source
property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.
- Raises
google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.
- async batch_predict(request: Optional[google.cloud.automl_v1.types.prediction_service.BatchPredictRequest] = None, *, name: Optional[str] = None, input_config: Optional[google.cloud.automl_v1.types.io.BatchPredictInputConfig] = None, output_config: Optional[google.cloud.automl_v1.types.io.BatchPredictOutputConfig] = None, params: Optional[Sequence[google.cloud.automl_v1.types.prediction_service.BatchPredictRequest.ParamsEntry]] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation_async.AsyncOperation [source]¶
Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1.PredictionService.Predict], batch prediction result won’t be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML scenarios:
AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables
- Parameters
request (
google.cloud.automl_v1.types.BatchPredictRequest
) – The request object. Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].name (
str
) –Required. Name of the model requested to serve the batch prediction.
This corresponds to the
name
field on therequest
instance; ifrequest
is provided, this should not be set.input_config (
google.cloud.automl_v1.types.BatchPredictInputConfig
) –Required. The input configuration for batch prediction.
This corresponds to the
input_config
field on therequest
instance; ifrequest
is provided, this should not be set.output_config (
google.cloud.automl_v1.types.BatchPredictOutputConfig
) –Required. The Configuration specifying where output predictions should be written.
This corresponds to the
output_config
field on therequest
instance; ifrequest
is provided, this should not be set.params (
Sequence[google.cloud.automl_v1.types.BatchPredictRequest.ParamsEntry]
) –Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
AutoML Natural Language Classification
score_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.AutoML Vision Classification
score_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.AutoML Vision Object Detection
score_threshold
: (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count
: (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classificationscore_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.segment_classification
: (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.shot_classification
: (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.
1s_interval_classification
: (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.
AutoML Video Intelligence Object Tracking
score_threshold
: (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count
: (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server.min_bounding_box_size
: (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.This corresponds to the
params
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
An object representing a long-running operation.
- The result type for the operation will be
google.cloud.automl_v1.types.BatchPredictResult
Result of the Batch Predict. This message is returned in [response][google.longrunning.Operation.response] of the operation returned by the [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
- The result type for the operation will be
- Return type
google.api_core.operation_async.AsyncOperation
- static common_billing_account_path(billing_account: str) str ¶
Returns a fully-qualified billing_account string.
- static common_folder_path(folder: str) str ¶
Returns a fully-qualified folder string.
- static common_location_path(project: str, location: str) str ¶
Returns a fully-qualified location string.
- static common_organization_path(organization: str) str ¶
Returns a fully-qualified organization string.
- static common_project_path(project: str) str ¶
Returns a fully-qualified project string.
- classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
info.
- Parameters
info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_json(filename: str, *args, **kwargs)¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- get_transport_class() Type[google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport] ¶
Returns an appropriate transport class.
- Parameters
label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
- Returns
The transport class to use.
- static model_path(project: str, location: str, model: str) str ¶
Returns a fully-qualified model string.
- static parse_common_billing_account_path(path: str) Dict[str, str] ¶
Parse a billing_account path into its component segments.
- static parse_common_folder_path(path: str) Dict[str, str] ¶
Parse a folder path into its component segments.
- static parse_common_location_path(path: str) Dict[str, str] ¶
Parse a location path into its component segments.
- static parse_common_organization_path(path: str) Dict[str, str] ¶
Parse a organization path into its component segments.
- static parse_common_project_path(path: str) Dict[str, str] ¶
Parse a project path into its component segments.
- static parse_model_path(path: str) Dict[str, str] ¶
Parses a model path into its component segments.
- async predict(request: Optional[google.cloud.automl_v1.types.prediction_service.PredictRequest] = None, *, name: Optional[str] = None, payload: Optional[google.cloud.automl_v1.types.data_items.ExamplePayload] = None, params: Optional[Sequence[google.cloud.automl_v1.types.prediction_service.PredictRequest.ParamsEntry]] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.automl_v1.types.prediction_service.PredictResponse [source]¶
Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:
AutoML Vision Classification
An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Vision Object Detection
An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Natural Language Classification
A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Natural Language Entity Extraction
A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.
AutoML Natural Language Sentiment Analysis
A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Translation
A TextSnippet up to 25,000 characters, UTF-8 encoded.
AutoML Tables
A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING
prediction_type
.
- Parameters
request (
google.cloud.automl_v1.types.PredictRequest
) – The request object. Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].name (
str
) –Required. Name of the model requested to serve the prediction.
This corresponds to the
name
field on therequest
instance; ifrequest
is provided, this should not be set.payload (
google.cloud.automl_v1.types.ExamplePayload
) –Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
This corresponds to the
payload
field on therequest
instance; ifrequest
is provided, this should not be set.params (
Sequence[google.cloud.automl_v1.types.PredictRequest.ParamsEntry]
) –Additional domain-specific parameters, any string must be up to 25000 characters long.
AutoML Vision Classification
score_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.AutoML Vision Object Detection
score_threshold
: (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count
: (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server.AutoML Tables
feature_importance
: (boolean) Whether[feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
This corresponds to the
params
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Response message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
- Return type
- property transport: google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport¶
Returns the transport used by the client instance.
- Returns
The transport used by the client instance.
- Return type
PredictionServiceTransport
- class google.cloud.automl_v1.services.prediction_service.PredictionServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶
AutoML Prediction API.
On any input that is documented to expect a string parameter in snake_case or kebab-case, either of those cases is accepted.
Instantiates the prediction service client.
- Parameters
credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Union[str, PredictionServiceTransport]) – The transport to use. If set to None, a transport is chosen automatically.
client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. It won’t take effect if a
transport
instance is provided. (1) Theapi_endpoint
property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, theapi_endpoint
property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then theclient_cert_source
property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If
None
, then default info will be used. Generally, you only need to set this if you’re developing your own client library.
- Raises
google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.
- batch_predict(request: Optional[google.cloud.automl_v1.types.prediction_service.BatchPredictRequest] = None, *, name: Optional[str] = None, input_config: Optional[google.cloud.automl_v1.types.io.BatchPredictInputConfig] = None, output_config: Optional[google.cloud.automl_v1.types.io.BatchPredictOutputConfig] = None, params: Optional[Sequence[google.cloud.automl_v1.types.prediction_service.BatchPredictRequest.ParamsEntry]] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation.Operation [source]¶
Perform a batch prediction. Unlike the online [Predict][google.cloud.automl.v1.PredictionService.Predict], batch prediction result won’t be immediately available in the response. Instead, a long running operation object is returned. User can poll the operation result via [GetOperation][google.longrunning.Operations.GetOperation] method. Once the operation is done, [BatchPredictResult][google.cloud.automl.v1.BatchPredictResult] is returned in the [response][google.longrunning.Operation.response] field. Available for following ML scenarios:
AutoML Vision Classification
AutoML Vision Object Detection
AutoML Video Intelligence Classification
AutoML Video Intelligence Object Tracking * AutoML Natural Language Classification
AutoML Natural Language Entity Extraction
AutoML Natural Language Sentiment Analysis
AutoML Tables
- Parameters
request (google.cloud.automl_v1.types.BatchPredictRequest) – The request object. Request message for [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
name (str) –
Required. Name of the model requested to serve the batch prediction.
This corresponds to the
name
field on therequest
instance; ifrequest
is provided, this should not be set.input_config (google.cloud.automl_v1.types.BatchPredictInputConfig) –
Required. The input configuration for batch prediction.
This corresponds to the
input_config
field on therequest
instance; ifrequest
is provided, this should not be set.output_config (google.cloud.automl_v1.types.BatchPredictOutputConfig) –
Required. The Configuration specifying where output predictions should be written.
This corresponds to the
output_config
field on therequest
instance; ifrequest
is provided, this should not be set.params (Sequence[google.cloud.automl_v1.types.BatchPredictRequest.ParamsEntry]) –
Additional domain-specific parameters for the predictions, any string must be up to 25000 characters long.
AutoML Natural Language Classification
score_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for a text snippet, it will only produce results that have at least this confidence score. The default is 0.5.AutoML Vision Classification
score_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.AutoML Vision Object Detection
score_threshold
: (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count
: (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server. AutoML Video Intelligence Classificationscore_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for a video, it will only produce results that have at least this confidence score. The default is 0.5.segment_classification
: (boolean) Set to true to request segment-level classification. AutoML Video Intelligence returns labels and their confidence scores for the entire segment of the video that user specified in the request configuration. The default is true.shot_classification
: (boolean) Set to true to request shot-level classification. AutoML Video Intelligence determines the boundaries for each camera shot in the entire segment of the video that user specified in the request configuration. AutoML Video Intelligence then returns labels and their confidence scores for each detected shot, along with the start and end time of the shot. The default is false.WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.
1s_interval_classification
: (boolean) Set to true to request classification for a video at one-second intervals. AutoML Video Intelligence returns labels and their confidence scores for each second of the entire segment of the video that user specified in the request configuration. The default is false.WARNING: Model evaluation is not done for this classification type, the quality of it depends on training data, but there are no metrics provided to describe that quality.
AutoML Video Intelligence Object Tracking
score_threshold
: (float) When Model detects objects on video frames, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count
: (int64) The maximum number of bounding boxes returned per image. The default is 100, the number of bounding boxes returned might be limited by the server.min_bounding_box_size
: (float) Only bounding boxes with shortest edge at least that long as a relative value of video frame size are returned. Value in 0 to 1 range. Default is 0.This corresponds to the
params
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
An object representing a long-running operation.
- The result type for the operation will be
google.cloud.automl_v1.types.BatchPredictResult
Result of the Batch Predict. This message is returned in [response][google.longrunning.Operation.response] of the operation returned by the [PredictionService.BatchPredict][google.cloud.automl.v1.PredictionService.BatchPredict].
- The result type for the operation will be
- Return type
google.api_core.operation.Operation
- static common_billing_account_path(billing_account: str) str [source]¶
Returns a fully-qualified billing_account string.
- static common_location_path(project: str, location: str) str [source]¶
Returns a fully-qualified location string.
- static common_organization_path(organization: str) str [source]¶
Returns a fully-qualified organization string.
- classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶
- Creates an instance of this client using the provided credentials
info.
- Parameters
info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- classmethod from_service_account_json(filename: str, *args, **kwargs)¶
- Creates an instance of this client using the provided credentials
file.
- Parameters
filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.
- Returns
The constructed client.
- Return type
- static model_path(project: str, location: str, model: str) str [source]¶
Returns a fully-qualified model string.
- static parse_common_billing_account_path(path: str) Dict[str, str] [source]¶
Parse a billing_account path into its component segments.
- static parse_common_folder_path(path: str) Dict[str, str] [source]¶
Parse a folder path into its component segments.
- static parse_common_location_path(path: str) Dict[str, str] [source]¶
Parse a location path into its component segments.
- static parse_common_organization_path(path: str) Dict[str, str] [source]¶
Parse a organization path into its component segments.
- static parse_common_project_path(path: str) Dict[str, str] [source]¶
Parse a project path into its component segments.
- static parse_model_path(path: str) Dict[str, str] [source]¶
Parses a model path into its component segments.
- predict(request: Optional[google.cloud.automl_v1.types.prediction_service.PredictRequest] = None, *, name: Optional[str] = None, payload: Optional[google.cloud.automl_v1.types.data_items.ExamplePayload] = None, params: Optional[Sequence[google.cloud.automl_v1.types.prediction_service.PredictRequest.ParamsEntry]] = None, retry: google.api_core.retry.Retry = <object object>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ()) google.cloud.automl_v1.types.prediction_service.PredictResponse [source]¶
Perform an online prediction. The prediction result is directly returned in the response. Available for following ML scenarios, and their expected request payloads:
AutoML Vision Classification
An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Vision Object Detection
An image in .JPEG, .GIF or .PNG format, image_bytes up to 30MB.
AutoML Natural Language Classification
A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Natural Language Entity Extraction
A TextSnippet up to 10,000 characters, UTF-8 NFC encoded or a document in .PDF, .TIF or .TIFF format with size upto 20MB.
AutoML Natural Language Sentiment Analysis
A TextSnippet up to 60,000 characters, UTF-8 encoded or a document in .PDF, .TIF or .TIFF format with size upto 2MB.
AutoML Translation
A TextSnippet up to 25,000 characters, UTF-8 encoded.
AutoML Tables
A row with column values matching the columns of the model, up to 5MB. Not available for FORECASTING
prediction_type
.
- Parameters
request (google.cloud.automl_v1.types.PredictRequest) – The request object. Request message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
name (str) –
Required. Name of the model requested to serve the prediction.
This corresponds to the
name
field on therequest
instance; ifrequest
is provided, this should not be set.payload (google.cloud.automl_v1.types.ExamplePayload) –
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
This corresponds to the
payload
field on therequest
instance; ifrequest
is provided, this should not be set.params (Sequence[google.cloud.automl_v1.types.PredictRequest.ParamsEntry]) –
Additional domain-specific parameters, any string must be up to 25000 characters long.
AutoML Vision Classification
score_threshold
: (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.AutoML Vision Object Detection
score_threshold
: (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5.max_bounding_box_count
: (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server.AutoML Tables
feature_importance
: (boolean) Whether[feature_importance][google.cloud.automl.v1.TablesModelColumnInfo.feature_importance] is populated in the returned list of [TablesAnnotation][google.cloud.automl.v1.TablesAnnotation] objects. The default is false.
This corresponds to the
params
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Response message for [PredictionService.Predict][google.cloud.automl.v1.PredictionService.Predict].
- Return type
- property transport: google.cloud.automl_v1.services.prediction_service.transports.base.PredictionServiceTransport¶
Returns the transport used by the client instance.
- Returns
- The transport used by the client
instance.
- Return type
PredictionServiceTransport