snorkelflow.sdk

(Beta) Object-oriented SDK for Snorkel Flow

Classes

Batch(name, uid, dataset_uid, label_schemas, ...)	The Batch object represents an annotation batch in Snorkel Flow.
Dataset(name, uid, mta_enabled)	The Dataset object represents a dataset in Snorkel Flow.
Deployment(deployment_uid, **kwargs)	The Deployment object represents a deployment in Snorkel Flow.
ExternalModel(external_model_name[, ...])
ExternalModelTrainer([column_mappings, ...])	The ExternalModelTrainer class provides methods to finetune a 3rd party model.
FTDataset(df, dataset_uid, label_schema_uid, ...)
FineTuningApp(app_uid, model_node_uid, ...)
LabelSchema(name, uid, dataset_uid, label_map)	The LabelSchema object represents a label schema in Snorkel Flow.
MLflowDeployment(deployment_uid, **kwargs)	MLflowDeployment class represents a deployment of a Snorkel Flow application as an MLflow model.
ModelNode(uid, application_uid, config)	ModelNode class represents a model node.
Node(uid, application_uid, config)	The Node object represents atomic data processing units in Snorkel Flow.
OperatorNode(uid, application_uid, config)	OperatorNode class represents a non-model, operator node.
QualityDataset(df, dataset_uid, ...)
Slice(dataset, slice_uid, name[, description])
SnorkelFlowPackageDeployment(deployment_uid, ...)	SnorkelFlowPackageDeployment class represents a deployment of a Snorkel Flow application as a SnorkelFlowPackage.