Uses of Interface
software.amazon.awssdk.services.sagemaker.model.TimeSeriesTransformations.Builder
-
Packages that use TimeSeriesTransformations.Builder Package Description software.amazon.awssdk.services.sagemaker.model -
-
Uses of TimeSeriesTransformations.Builder in software.amazon.awssdk.services.sagemaker.model
Methods in software.amazon.awssdk.services.sagemaker.model that return TimeSeriesTransformations.Builder Modifier and Type Method Description TimeSeriesTransformations.BuilderTimeSeriesTransformations.Builder. aggregation(Map<String,AggregationTransformationValue> aggregation)A key value pair defining the aggregation method for a column, where the key is the column name and the value is the aggregation method.TimeSeriesTransformations.BuilderTimeSeriesTransformations.Builder. aggregationWithStrings(Map<String,String> aggregation)A key value pair defining the aggregation method for a column, where the key is the column name and the value is the aggregation method.static TimeSeriesTransformations.BuilderTimeSeriesTransformations. builder()TimeSeriesTransformations.BuilderTimeSeriesTransformations.Builder. fillingWithStrings(Map<String,? extends Map<String,String>> filling)A key value pair defining the filling method for a column, where the key is the column name and the value is an object which defines the filling logic.TimeSeriesTransformations.BuilderTimeSeriesTransformations. toBuilder()Methods in software.amazon.awssdk.services.sagemaker.model that return types with arguments of type TimeSeriesTransformations.Builder Modifier and Type Method Description static Class<? extends TimeSeriesTransformations.Builder>TimeSeriesTransformations. serializableBuilderClass()Method parameters in software.amazon.awssdk.services.sagemaker.model with type arguments of type TimeSeriesTransformations.Builder Modifier and Type Method Description default TimeSeriesForecastingJobConfig.BuilderTimeSeriesForecastingJobConfig.Builder. transformations(Consumer<TimeSeriesTransformations.Builder> transformations)The transformations modifying specific attributes of the time-series, such as filling strategies for missing values.
-