Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ActiveLearningConfig.
Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy.
Generated from protobuf message google.cloud.aiplatform.v1.ActiveLearningConfig
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ max_data_item_count |
int|string
Max number of human labeled DataItems. |
↳ max_data_item_percentage |
int
Max percent of total DataItems for human labeling. |
↳ sample_config |
Google\Cloud\AIPlatform\V1\SampleConfig
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy. |
↳ training_config |
Google\Cloud\AIPlatform\V1\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. |
getMaxDataItemCount
Max number of human labeled DataItems.
Generated from protobuf field int64 max_data_item_count = 1;
| Returns | |
|---|---|
| Type | Description |
int|string | |
hasMaxDataItemCount
setMaxDataItemCount
Max number of human labeled DataItems.
Generated from protobuf field int64 max_data_item_count = 1;
| Parameter | |
|---|---|
| Name | Description |
var |
int|string
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getMaxDataItemPercentage
Max percent of total DataItems for human labeling.
Generated from protobuf field int32 max_data_item_percentage = 2;
| Returns | |
|---|---|
| Type | Description |
int | |
hasMaxDataItemPercentage
setMaxDataItemPercentage
Max percent of total DataItems for human labeling.
Generated from protobuf field int32 max_data_item_percentage = 2;
| Parameter | |
|---|---|
| Name | Description |
var |
int
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getSampleConfig
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
Generated from protobuf field .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
| Returns | |
|---|---|
| Type | Description |
Google\Cloud\AIPlatform\V1\SampleConfig|null | |
hasSampleConfig
clearSampleConfig
setSampleConfig
Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
Generated from protobuf field .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\SampleConfig
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getTrainingConfig
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 field .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
| Returns | |
|---|---|
| Type | Description |
Google\Cloud\AIPlatform\V1\TrainingConfig|null | |
hasTrainingConfig
clearTrainingConfig
setTrainingConfig
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 field .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
| Parameter | |
|---|---|
| Name | Description |
var |
Google\Cloud\AIPlatform\V1\TrainingConfig
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getHumanLabelingBudget
| Returns | |
|---|---|
| Type | Description |
string | |