| Package | Description |
|---|---|
| com.logicalclocks.hsfs | |
| com.logicalclocks.hsfs.beam | |
| com.logicalclocks.hsfs.flink | |
| com.logicalclocks.hsfs.spark | |
| com.logicalclocks.hsfs.spark.engine |
| Modifier and Type | Field and Description |
|---|---|
protected StatisticsConfig |
TrainingDatasetBase.statisticsConfig |
protected StatisticsConfig |
FeatureGroupBase.statisticsConfig |
| Modifier and Type | Method and Description |
|---|---|
abstract Object |
FeatureStoreBase.getOrCreateFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig) |
abstract Object |
FeatureStoreBase.getOrCreateStreamFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String eventTime,
OnlineConfig onlineConfig) |
| Modifier and Type | Method and Description |
|---|---|
Object |
FeatureStore.getOrCreateFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig) |
StreamFeatureGroup |
FeatureStore.getOrCreateStreamFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String eventTime,
OnlineConfig onlineConfig) |
| Constructor and Description |
|---|
StreamFeatureGroup(FeatureStore featureStore,
@NonNull String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
List<Feature> features,
StatisticsConfig statisticsConfig,
String onlineTopicName,
String eventTime,
OnlineConfig onlineConfig,
StorageConnector storageConnector,
String path) |
| Modifier and Type | Method and Description |
|---|---|
Object |
FeatureStore.getOrCreateFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig) |
StreamFeatureGroup |
FeatureStore.getOrCreateStreamFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String eventTime,
OnlineConfig onlineConfig) |
| Constructor and Description |
|---|
StreamFeatureGroup(FeatureStore featureStore,
@NonNull String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
List<Feature> features,
StatisticsConfig statisticsConfig,
String onlineTopicName,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig,
StorageConnector storageConnector,
String path) |
| Modifier and Type | Method and Description |
|---|---|
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)
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)
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)
Create the metadata for a training dataset and save the corresponding training data into `location`.
|
FeatureGroup |
FeatureStore.getOrCreateFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig)
Get feature group metadata object or create a new one if it doesn't exist.
|
StreamFeatureGroup |
FeatureStore.getOrCreateStreamFeatureGroup(String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String eventTime,
OnlineConfig onlineConfig)
Get stream feature group metadata object or create a new one if it doesn't exist.
|
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.
|
| Constructor and Description |
|---|
ExternalFeatureGroup(FeatureStore featureStore,
@NonNull String name,
Integer version,
String query,
ExternalDataFormat dataFormat,
String path,
Map<String,String> options,
@NonNull StorageConnector storageConnector,
String description,
List<String> primaryKeys,
List<Feature> features,
StatisticsConfig statisticsConfig,
String eventTime,
boolean onlineEnabled,
String onlineTopicName,
String topicName,
String notificationTopicName,
OnlineConfig onlineConfig) |
FeatureGroup(FeatureStore featureStore,
@NonNull String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
List<Feature> features,
StatisticsConfig statisticsConfig,
String onlineTopicName,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig,
StorageConnector storageConnector,
String path) |
StreamFeatureGroup(FeatureStore featureStore,
@NonNull String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
List<Feature> features,
StatisticsConfig statisticsConfig,
String onlineTopicName,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig,
StorageConnector storageConnector,
String path) |
TrainingDataset(@NonNull String name,
Integer version,
String description,
DataFormat dataFormat,
Boolean coalesce,
StorageConnector storageConnector,
String location,
List<Split> splits,
String trainSplit,
Long seed,
FeatureStore 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) |
| Modifier and Type | Method and Description |
|---|---|
FeatureGroup |
FeatureGroupEngine.getOrCreateFeatureGroup(FeatureStore featureStore,
String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String topicName,
String notificationTopicName,
String eventTime,
OnlineConfig onlineConfig) |
StreamFeatureGroup |
FeatureGroupEngine.getOrCreateStreamFeatureGroup(FeatureStore featureStore,
String name,
Integer version,
String description,
List<String> primaryKeys,
List<String> partitionKeys,
String hudiPrecombineKey,
boolean onlineEnabled,
TimeTravelFormat timeTravelFormat,
StatisticsConfig statisticsConfig,
String eventTime,
OnlineConfig onlineConfig) |
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