Uses of Enum Class
com.logicalclocks.hsfs.DataFormat

Packages that use DataFormat

Package	Description
com.logicalclocks.hsfs
com.logicalclocks.hsfs.spark
com.logicalclocks.hsfs.spark.engine

Uses of DataFormat in com.logicalclocks.hsfs

Fields in com.logicalclocks.hsfs declared as DataFormat

Modifier and Type	Field	Description
protected DataFormat	TrainingDatasetBase.dataFormat

Methods in com.logicalclocks.hsfs that return DataFormat

Modifier and Type	Method	Description
static DataFormat	DataFormat.valueOf(String name)	Returns the enum constant of this class with the specified name.
static DataFormat[]	DataFormat.values()	Returns an array containing the constants of this enum class, in the order they are declared.

Methods in com.logicalclocks.hsfs with parameters of type DataFormat

Modifier and Type	Method	Description
Integer	FeatureViewBase.createTrainingData(String startTime, String endTime, String description, DataFormat dataFormat)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureViewBase.createTrainingData(String startTime, String endTime, String description, DataFormat dataFormat, Boolean coalesce, DataSource dataSource, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureViewBase.createTrainingData(String startTime, String endTime, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Deprecated.
Integer	FeatureViewBase.createTrainTestSplit(Float testSize, String trainStart, String trainEnd, String testStart, String testEnd, String description, DataFormat dataFormat)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureViewBase.createTrainTestSplit(Float testSize, String trainStart, String trainEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, DataSource dataSource, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureViewBase.createTrainTestSplit(Float testSize, String trainStart, String trainEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Deprecated.
Integer	FeatureViewBase.createTrainValidationTestSplit(Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, String description, DataFormat dataFormat)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureViewBase.createTrainValidationTestSplit(Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, DataSource dataSource, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureViewBase.createTrainValidationTestSplit(Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Deprecated.

Constructors in com.logicalclocks.hsfs with parameters of type DataFormat

Modifier	Constructor	Description
	TrainingDatasetBase(Integer version, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, List<Split> splits, String trainSplit, Long seed, FeatureStoreBase featureStore, StatisticsConfig statisticsConfig, List<String> label, String eventStartTime, String eventEndTime, TrainingDatasetType trainingDatasetType, Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, Integer timeSplitSize, FilterLogic extraFilterLogic, Filter extraFilter, DataSource dataSource)

Uses of DataFormat in com.logicalclocks.hsfs.spark

Methods in com.logicalclocks.hsfs.spark with parameters of type DataFormat

Modifier and Type	Method	Description
Integer	FeatureView.createTrainingData(String startTime, String endTime, String description, DataFormat dataFormat)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureView.createTrainingData(String startTime, String endTime, String description, DataFormat dataFormat, Boolean coalesce, DataSource dataSource, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureView.createTrainingData(String startTime, String endTime, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Deprecated.
Integer	FeatureView.createTrainTestSplit(Float testSize, String trainStart, String trainEnd, String testStart, String testEnd, String description, DataFormat dataFormat)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureView.createTrainTestSplit(Float testSize, String trainStart, String trainEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, DataSource dataSource, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureView.createTrainTestSplit(Float testSize, String trainStart, String trainEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Deprecated.
Integer	FeatureView.createTrainValidationTestSplit(Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, String description, DataFormat dataFormat)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureView.createTrainValidationTestSplit(Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, DataSource dataSource, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Create the metadata for a training dataset and save the corresponding training data into `location`.
Integer	FeatureView.createTrainValidationTestSplit(Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, Long seed, StatisticsConfig statisticsConfig, Map<String,String> writeOptions, FilterLogic extraFilterLogic, Filter extraFilter)	Deprecated.

Constructors in com.logicalclocks.hsfs.spark with parameters of type DataFormat

Modifier	Constructor	Description
	TrainingDataset(Integer version, String description, DataFormat dataFormat, Boolean coalesce, StorageConnector storageConnector, String location, List<Split> splits, String trainSplit, Long seed, FeatureStoreBase featureStore, StatisticsConfig statisticsConfig, List<String> label, String eventStartTime, String eventEndTime, TrainingDatasetType trainingDatasetType, Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, Integer timeSplitSize, FilterLogic extraFilterLogic, Filter extraFilter, DataSource dataSource)

Uses of DataFormat in com.logicalclocks.hsfs.spark.engine

Methods in com.logicalclocks.hsfs.spark.engine with parameters of type DataFormat

Modifier and Type	Method	Description
Map<String,String>	SparkEngine.getReadOptions(Map<String,String> providedOptions, DataFormat dataFormat)
Map<String,String>	SparkEngine.getWriteOptions(Map<String,String> providedOptions, DataFormat dataFormat)