Google Cloud Ai Platform V1 Client - Class ActiveLearningConfig (0.15.0)

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
NameDescription
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.

Returns
TypeDescription
int|string

hasMaxDataItemCount

setMaxDataItemCount

Max number of human labeled DataItems.

Parameter
NameDescription
var int|string
Returns
TypeDescription
$this

getMaxDataItemPercentage

Max percent of total DataItems for human labeling.

Returns
TypeDescription
int

hasMaxDataItemPercentage

setMaxDataItemPercentage

Max percent of total DataItems for human labeling.

Parameter
NameDescription
var int
Returns
TypeDescription
$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
TypeDescription
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.

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\SampleConfig
Returns
TypeDescription
$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
TypeDescription
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.

Parameter
NameDescription
var Google\Cloud\AIPlatform\V1\TrainingConfig
Returns
TypeDescription
$this

getHumanLabelingBudget

Returns
TypeDescription
string