Reference documentation and code samples for the Google Cloud Discovery Engine V1 Client class TrainCustomModelResponse.
Response of the TrainCustomModelRequest.
This message is returned by the google.longrunning.Operations.response field.
Generated from protobuf message google.cloud.discoveryengine.v1.TrainCustomModelResponse
Namespace
Google \ Cloud \ DiscoveryEngine \ V1Methods
__construct
Constructor.
Parameters | |
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Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ error_samples |
array<Google\Rpc\Status>
A sample of errors encountered while processing the data. |
↳ error_config |
ImportErrorConfig
Echoes the destination for the complete errors in the request if set. |
↳ model_status |
string
The trained model status. Possible values are: * * bad-data: The training data quality is bad. * * no-improvement: Tuning didn't improve performance. Won't deploy. * * in-progress: Model training job creation is in progress. * * training: Model is actively training. * * evaluating: The model is evaluating trained metrics. * * indexing: The model trained metrics are indexing. * * ready: The model is ready for serving. |
↳ metrics |
array|Google\Protobuf\Internal\MapField
The metrics of the trained model. |
↳ model_name |
string
Fully qualified name of the CustomTuningModel. |
getErrorSamples
A sample of errors encountered while processing the data.
Returns | |
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Type | Description |
Google\Protobuf\Internal\RepeatedField |
setErrorSamples
A sample of errors encountered while processing the data.
Parameter | |
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Name | Description |
var |
array<Google\Rpc\Status>
|
Returns | |
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Type | Description |
$this |
getErrorConfig
Echoes the destination for the complete errors in the request if set.
Returns | |
---|---|
Type | Description |
ImportErrorConfig|null |
hasErrorConfig
clearErrorConfig
setErrorConfig
Echoes the destination for the complete errors in the request if set.
Parameter | |
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Name | Description |
var |
ImportErrorConfig
|
Returns | |
---|---|
Type | Description |
$this |
getModelStatus
The trained model status. Possible values are:
- bad-data: The training data quality is bad.
- no-improvement: Tuning didn't improve performance. Won't deploy.
- in-progress: Model training job creation is in progress.
- training: Model is actively training.
- evaluating: The model is evaluating trained metrics.
- indexing: The model trained metrics are indexing.
- ready: The model is ready for serving.
Returns | |
---|---|
Type | Description |
string |
setModelStatus
The trained model status. Possible values are:
- bad-data: The training data quality is bad.
- no-improvement: Tuning didn't improve performance. Won't deploy.
- in-progress: Model training job creation is in progress.
- training: Model is actively training.
- evaluating: The model is evaluating trained metrics.
- indexing: The model trained metrics are indexing.
- ready: The model is ready for serving.
Parameter | |
---|---|
Name | Description |
var |
string
|
Returns | |
---|---|
Type | Description |
$this |
getMetrics
The metrics of the trained model.
Returns | |
---|---|
Type | Description |
Google\Protobuf\Internal\MapField |
setMetrics
The metrics of the trained model.
Parameter | |
---|---|
Name | Description |
var |
array|Google\Protobuf\Internal\MapField
|
Returns | |
---|---|
Type | Description |
$this |
getModelName
Fully qualified name of the CustomTuningModel.
Returns | |
---|---|
Type | Description |
string |
setModelName
Fully qualified name of the CustomTuningModel.
Parameter | |
---|---|
Name | Description |
var |
string
|
Returns | |
---|---|
Type | Description |
$this |