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
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__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 |
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 |
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.
| Returns | |
|---|---|
| Type | Description |
int|string |
|
hasMaxDataItemCount
setMaxDataItemCount
Max number of human labeled DataItems.
| Parameter | |
|---|---|
| Name | Description |
var |
int|string
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getMaxDataItemPercentage
Max percent of total DataItems for human labeling.
| Returns | |
|---|---|
| Type | Description |
int |
|
hasMaxDataItemPercentage
setMaxDataItemPercentage
Max percent of total DataItems for human labeling.
| 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.
| Returns | |
|---|---|
| Type | Description |
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.
| Parameter | |
|---|---|
| Name | Description |
var |
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.
| Returns | |
|---|---|
| Type | Description |
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.
| Parameter | |
|---|---|
| Name | Description |
var |
TrainingConfig
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getHumanLabelingBudget
| Returns | |
|---|---|
| Type | Description |
string |
|