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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.
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;
int|string
hasMaxDataItemCount
setMaxDataItemCount
Max number of human labeled DataItems.
Generated from protobuf field int64 max_data_item_count = 1;
var
int|string
$this
getMaxDataItemPercentage
Max percent of total DataItems for human labeling.
Generated from protobuf field int32 max_data_item_percentage = 2;
int
hasMaxDataItemPercentage
setMaxDataItemPercentage
Max percent of total DataItems for human labeling.
Generated from protobuf field int32 max_data_item_percentage = 2;
var
int
$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;
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;
$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;
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;
$this
getHumanLabelingBudget
string
