Uses of Class
com.logicalclocks.hsfs.constructor.FilterLogic

Packages that use FilterLogic

Package	Description
com.logicalclocks.hsfs
com.logicalclocks.hsfs.constructor
com.logicalclocks.hsfs.spark

Uses of FilterLogic in com.logicalclocks.hsfs

Fields in com.logicalclocks.hsfs declared as FilterLogic

Modifier and Type	Field and Description
protected FilterLogic	TrainingDatasetBase.extraFilter

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

Modifier and Type	Method and Description
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, 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, 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 FilterLogic

Constructor and 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 FilterLogic in com.logicalclocks.hsfs.constructor

Fields in com.logicalclocks.hsfs.constructor declared as FilterLogic

Modifier and Type	Field and Description
protected FilterLogic	QueryBase.filter

Methods in com.logicalclocks.hsfs.constructor that return FilterLogic

Modifier and Type	Method and Description
FilterLogic	FilterLogic.and(Filter other)
FilterLogic	Filter.and(Filter other)
FilterLogic	FilterLogic.and(FilterLogic other)
FilterLogic	Filter.and(FilterLogic other)
FilterLogic	FilterLogic.or(Filter other)
FilterLogic	Filter.or(Filter other)
FilterLogic	FilterLogic.or(FilterLogic other)
FilterLogic	Filter.or(FilterLogic other)

Methods in com.logicalclocks.hsfs.constructor with parameters of type FilterLogic

Modifier and Type	Method and Description
FilterLogic	FilterLogic.and(FilterLogic other)
FilterLogic	Filter.and(FilterLogic other)
T	QueryBase.filter(FilterLogic filter)
FilterLogic	FilterLogic.or(FilterLogic other)
FilterLogic	Filter.or(FilterLogic other)

Constructors in com.logicalclocks.hsfs.constructor with parameters of type FilterLogic

Constructor and Description
FilterLogic(SqlFilterLogic type, Filter leftFilter, FilterLogic rightLogic)
FilterLogic(SqlFilterLogic type, FilterLogic leftLogic, Filter rightFilter)
FilterLogic(SqlFilterLogic type, FilterLogic leftLogic, FilterLogic rightLogic)

Uses of FilterLogic in com.logicalclocks.hsfs.spark

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

Modifier and Type	Method and Description
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, 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, 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.
List<org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>>	FeatureView.trainingData(String startTime, String endTime, String description, Long seed, StatisticsConfig statisticsConfig, Map<String,String> readOptions, FilterLogic extraFilterLogic, Filter extraFilter) Create the metadata for a training dataset and get the corresponding training data from the offline feature store.
List<org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>>	FeatureView.trainTestSplit(Float testSize, String trainStart, String trainEnd, String testStart, String testEnd, String description, Long seed, StatisticsConfig statisticsConfig, Map<String,String> readOptions, FilterLogic extraFilterLogic, Filter extraFilter) Create the metadata for a training dataset and get the corresponding training data from the offline feature store.
List<org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>>	FeatureView.trainValidationTestSplit(Float validationSize, Float testSize, String trainStart, String trainEnd, String validationStart, String validationEnd, String testStart, String testEnd, String description, Long seed, StatisticsConfig statisticsConfig, Map<String,String> readOptions, FilterLogic extraFilterLogic, Filter extraFilter) Create the metadata for a training dataset and get the corresponding training data from the offline feature store.

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

Constructor and 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)