Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TrainingConfig.
CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
Generated from protobuf message google.cloud.aiplatform.v1.TrainingConfig
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ timeout_training_milli_hours |
int|string
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour. |
getTimeoutTrainingMilliHours
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
Generated from protobuf field int64 timeout_training_milli_hours = 1;
| Returns | |
|---|---|
| Type | Description |
int|string | |
setTimeoutTrainingMilliHours
The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
Generated from protobuf field int64 timeout_training_milli_hours = 1;
| Parameter | |
|---|---|
| Name | Description |
var |
int|string
|
| Returns | |
|---|---|
| Type | Description |
$this | |