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Class v1.PredictionServiceClient (2.4.5) Stay organized with collections
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Version 2.4.5 keyboard_arrow_down
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. v1
Package
@google-cloud/automl!
Constructors
(constructor)(opts)
constructor
(
opts
?:
ClientOptions
);
Construct an instance of PredictionServiceClient.
Parameter
Properties
apiEndpoint
static
get
apiEndpoint
()
:
string
;
The DNS address for this API service - same as servicePath(), exists for compatibility reasons.
Property Value
auth
auth
:
gax
.
GoogleAuth
;
Property Value
descriptors
descriptors
:
Descriptors
;
Property Value
innerApiCalls
innerApiCalls
:
{
[
name
:
string
]
:
Function
;
};
Property Value
operationsClient
operationsClient
:
gax
.
OperationsClient
;
Property Value
pathTemplates
pathTemplates
:
{
[
name
:
string
]
:
gax
.
PathTemplate
;
};
Property Value
port
static
get
port
()
:
number
;
The port for this API service.
Property Value
predictionServiceStub
predictionServiceStub
?:
Promise
< {
[
name
:
string
]
:
Function
;
}>;
Property Value
scopes
static
get
scopes
()
:
string
[];
The scopes needed to make gRPC calls for every method defined in this service.
Property Value
servicePath
static
get
servicePath
()
:
string
;
The DNS address for this API service.
Property Value
warn
warn
:
(
code
:
string
,
message
:
string
,
warnType
?:
string
)
=
>
void
;
Property Value
Methods
annotationSpecPath(project, location, dataset, annotationSpec)
annotationSpecPath
(
project
:
string
,
location
:
string
,
dataset
:
string
,
annotationSpec
:
string
)
:
string
;
Return a fully-qualified annotationSpec resource name string.
Parameters
Returns Type
Description
string
{string} Resource name string.
batchPredict(request, options)
batchPredict
(
request
?:
protos
.
google
.
cloud
.
automl
.
v1
.
IBatchPredictRequest
,
options
?:
CallOptions
)
:
Promise
< [
LROperation<protos
.
google
.
cloud
.
automl
.
v1
.
IBatchPredictResult
,
protos
.
google
.
cloud
.
automl
.
v1
.
IOperationMetadata
> ,
protos
.
google
.
longrunning
.
IOperation
|
undefined
,
{}
|
undefined
]>;
Parameters Name
Description
request
protos. google.cloud.automl.v1.IBatchPredictRequest
options
CallOptions
Returns
batchPredict(request, options, callback)
batchPredict
(
request
:
protos
.
google
.
cloud
.
automl
.
v1
.
IBatchPredictRequest
,
options
:
CallOptions
,
callback
:
Callback<LROperation<protos
.
google
.
cloud
.
automl
.
v1
.
IBatchPredictResult
,
protos
.
google
.
cloud
.
automl
.
v1
.
IOperationMetadata
> ,
protos
.
google
.
longrunning
.
IOperation
|
null
|
undefined
,
{}
|
null
|
undefined
> )
:
void
;
Parameters Name
Description
request
protos. google.cloud.automl.v1.IBatchPredictRequest
options
CallOptions
callback
Callback
< LROperation
<protos. google.cloud.automl.v1.IBatchPredictResult
, protos. google.cloud.automl.v1.IOperationMetadata
>, protos. google.longrunning.IOperation
| null | undefined, {} | null | undefined>
Returns
batchPredict(request, callback)
batchPredict
(
request
:
protos
.
google
.
cloud
.
automl
.
v1
.
IBatchPredictRequest
,
callback
:
Callback<LROperation<protos
.
google
.
cloud
.
automl
.
v1
.
IBatchPredictResult
,
protos
.
google
.
cloud
.
automl
.
v1
.
IOperationMetadata
> ,
protos
.
google
.
longrunning
.
IOperation
|
null
|
undefined
,
{}
|
null
|
undefined
> )
:
void
;
Parameters Name
Description
request
protos. google.cloud.automl.v1.IBatchPredictRequest
callback
Callback
< LROperation
<protos. google.cloud.automl.v1.IBatchPredictResult
, protos. google.cloud.automl.v1.IOperationMetadata
>, protos. google.longrunning.IOperation
| null | undefined, {} | null | undefined>
Returns
checkBatchPredictProgress(name)
checkBatchPredictProgress
(
name
:
string
)
:
Promise<LROperation<protos
.
google
.
cloud
.
automl
.
v1
.
BatchPredictResult
,
protos
.
google
.
cloud
.
automl
.
v1
.
OperationMetadata
>> ;
Check the status of the long running operation returned by batchPredict()
.
Parameter Name
Description
name
string
The operation name that will be passed.
Returns Type
Description
Promise
< LROperation
<protos. google.cloud.automl.v1.BatchPredictResult
, protos. google.cloud.automl.v1.OperationMetadata
>>
{Promise} - The promise which resolves to an object. The decoded operation object has result and metadata field to get information from. Please see the [documentation](https://github.com/googleapis/gax-nodejs/blob/master/client-libraries.md#long-running-operations) for more details and examples.
close()
close
()
:
Promise<void>
;
Terminate the gRPC channel and close the client.
The client will no longer be usable and all future behavior is undefined.
Returns Type
Description
Promise
<void>
{Promise} A promise that resolves when the client is closed.
datasetPath(project, location, dataset)
datasetPath
(
project
:
string
,
location
:
string
,
dataset
:
string
)
:
string
;
Return a fully-qualified dataset resource name string.
Parameters
Returns Type
Description
string
{string} Resource name string.
getProjectId()
getProjectId
()
:
Promise<string>
;
Returns
getProjectId(callback)
getProjectId
(
callback
:
Callback<string
,
undefined
,
undefined
> )
:
void
;
Parameter Name
Description
callback
Callback
<string, undefined, undefined>
Returns
initialize()
initialize
()
:
Promise
< {
[
name
:
string
]
:
Function
;
}>;
Initialize the client. Performs asynchronous operations (such as authentication) and prepares the client. This function will be called automatically when any class method is called for the first time, but if you need to initialize it before calling an actual method, feel free to call initialize() directly.
You can await on this method if you want to make sure the client is initialized.
Returns Type
Description
Promise
<{
[name: string]: Function
;
}>
{Promise} A promise that resolves to an authenticated service stub.
matchAnnotationSpecFromAnnotationSpecName(annotationSpecName)
matchAnnotationSpecFromAnnotationSpecName
(
annotationSpecName
:
string
)
:
string
|
number
;
Parse the annotation_spec from AnnotationSpec resource.
Parameter Name
Description
annotationSpecName
string
A fully-qualified path representing AnnotationSpec resource.
Returns Type
Description
string | number
{string} A string representing the annotation_spec.
matchDatasetFromAnnotationSpecName(annotationSpecName)
matchDatasetFromAnnotationSpecName
(
annotationSpecName
:
string
)
:
string
|
number
;
Parse the dataset from AnnotationSpec resource.
Parameter Name
Description
annotationSpecName
string
A fully-qualified path representing AnnotationSpec resource.
Returns Type
Description
string | number
{string} A string representing the dataset.
matchDatasetFromDatasetName(datasetName)
matchDatasetFromDatasetName
(
datasetName
:
string
)
:
string
|
number
;
Parse the dataset from Dataset resource.
Parameter Name
Description
datasetName
string
A fully-qualified path representing Dataset resource.
Returns Type
Description
string | number
{string} A string representing the dataset.
matchLocationFromAnnotationSpecName(annotationSpecName)
matchLocationFromAnnotationSpecName
(
annotationSpecName
:
string
)
:
string
|
number
;
Parse the location from AnnotationSpec resource.
Parameter Name
Description
annotationSpecName
string
A fully-qualified path representing AnnotationSpec resource.
Returns Type
Description
string | number
{string} A string representing the location.
matchLocationFromDatasetName(datasetName)
matchLocationFromDatasetName
(
datasetName
:
string
)
:
string
|
number
;
Parse the location from Dataset resource.
Parameter Name
Description
datasetName
string
A fully-qualified path representing Dataset resource.
Returns Type
Description
string | number
{string} A string representing the location.
matchLocationFromModelEvaluationName(modelEvaluationName)
matchLocationFromModelEvaluationName
(
modelEvaluationName
:
string
)
:
string
|
number
;
Parse the location from ModelEvaluation resource.
Parameter Name
Description
modelEvaluationName
string
A fully-qualified path representing ModelEvaluation resource.
Returns Type
Description
string | number
{string} A string representing the location.
matchLocationFromModelName(modelName)
matchLocationFromModelName
(
modelName
:
string
)
:
string
|
number
;
Parse the location from Model resource.
Parameter Name
Description
modelName
string
A fully-qualified path representing Model resource.
Returns Type
Description
string | number
{string} A string representing the location.
matchModelEvaluationFromModelEvaluationName(modelEvaluationName)
matchModelEvaluationFromModelEvaluationName
(
modelEvaluationName
:
string
)
:
string
|
number
;
Parse the model_evaluation from ModelEvaluation resource.
Parameter Name
Description
modelEvaluationName
string
A fully-qualified path representing ModelEvaluation resource.
Returns Type
Description
string | number
{string} A string representing the model_evaluation.
matchModelFromModelEvaluationName(modelEvaluationName)
matchModelFromModelEvaluationName
(
modelEvaluationName
:
string
)
:
string
|
number
;
Parse the model from ModelEvaluation resource.
Parameter Name
Description
modelEvaluationName
string
A fully-qualified path representing ModelEvaluation resource.
Returns Type
Description
string | number
{string} A string representing the model.
matchModelFromModelName(modelName)
matchModelFromModelName
(
modelName
:
string
)
:
string
|
number
;
Parse the model from Model resource.
Parameter Name
Description
modelName
string
A fully-qualified path representing Model resource.
Returns Type
Description
string | number
{string} A string representing the model.
matchProjectFromAnnotationSpecName(annotationSpecName)
matchProjectFromAnnotationSpecName
(
annotationSpecName
:
string
)
:
string
|
number
;
Parse the project from AnnotationSpec resource.
Parameter Name
Description
annotationSpecName
string
A fully-qualified path representing AnnotationSpec resource.
Returns Type
Description
string | number
{string} A string representing the project.
matchProjectFromDatasetName(datasetName)
matchProjectFromDatasetName
(
datasetName
:
string
)
:
string
|
number
;
Parse the project from Dataset resource.
Parameter Name
Description
datasetName
string
A fully-qualified path representing Dataset resource.
Returns Type
Description
string | number
{string} A string representing the project.
matchProjectFromModelEvaluationName(modelEvaluationName)
matchProjectFromModelEvaluationName
(
modelEvaluationName
:
string
)
:
string
|
number
;
Parse the project from ModelEvaluation resource.
Parameter Name
Description
modelEvaluationName
string
A fully-qualified path representing ModelEvaluation resource.
Returns Type
Description
string | number
{string} A string representing the project.
matchProjectFromModelName(modelName)
matchProjectFromModelName
(
modelName
:
string
)
:
string
|
number
;
Parse the project from Model resource.
Parameter Name
Description
modelName
string
A fully-qualified path representing Model resource.
Returns Type
Description
string | number
{string} A string representing the project.
modelEvaluationPath(project, location, model, modelEvaluation)
modelEvaluationPath
(
project
:
string
,
location
:
string
,
model
:
string
,
modelEvaluation
:
string
)
:
string
;
Return a fully-qualified modelEvaluation resource name string.
Parameters
Returns Type
Description
string
{string} Resource name string.
modelPath(project, location, model)
modelPath
(
project
:
string
,
location
:
string
,
model
:
string
)
:
string
;
Return a fully-qualified model resource name string.
Parameters
Returns Type
Description
string
{string} Resource name string.
predict(request, options)
predict
(
request
?:
protos
.
google
.
cloud
.
automl
.
v1
.
IPredictRequest
,
options
?:
CallOptions
)
:
Promise
< [
protos
.
google
.
cloud
.
automl
.
v1
.
IPredictResponse
,
protos
.
google
.
cloud
.
automl
.
v1
.
IPredictRequest
|
undefined
,
{}
|
undefined
]>;
Parameters Name
Description
request
protos. google.cloud.automl.v1.IPredictRequest
options
CallOptions
Returns
predict(request, options, callback)
predict
(
request
:
protos
.
google
.
cloud
.
automl
.
v1
.
IPredictRequest
,
options
:
CallOptions
,
callback
:
Callback<protos
.
google
.
cloud
.
automl
.
v1
.
IPredictResponse
,
protos
.
google
.
cloud
.
automl
.
v1
.
IPredictRequest
|
null
|
undefined
,
{}
|
null
|
undefined
> )
:
void
;
Parameters Name
Description
request
protos. google.cloud.automl.v1.IPredictRequest
options
CallOptions
callback
Callback
<protos. google.cloud.automl.v1.IPredictResponse
, protos. google.cloud.automl.v1.IPredictRequest
| null | undefined, {} | null | undefined>
Returns
predict(request, callback)
predict
(
request
:
protos
.
google
.
cloud
.
automl
.
v1
.
IPredictRequest
,
callback
:
Callback<protos
.
google
.
cloud
.
automl
.
v1
.
IPredictResponse
,
protos
.
google
.
cloud
.
automl
.
v1
.
IPredictRequest
|
null
|
undefined
,
{}
|
null
|
undefined
> )
:
void
;
Parameters Name
Description
request
protos. google.cloud.automl.v1.IPredictRequest
callback
Callback
<protos. google.cloud.automl.v1.IPredictResponse
, protos. google.cloud.automl.v1.IPredictRequest
| null | undefined, {} | null | undefined>
Returns
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