closedform

Type Members

1. case class ClosedFormColumnExtractor(child: Expression, name: String, confidence: Double, confFactor: Double, aggType: Type, error: Double, dataType: DataType, behavior: Type, nullable: Boolean)(exprId: ExprId = NamedExpression.newExprId, qualifier: Option[String] = None) extends UnaryExpression with NamedExpression with Product with Serializable

   

2. case class ClosedFormErrorEstimate(child: Expression, rawWeight: Expression, _confidence: Double, _aggregateType: Type, _error: Double, _errorEstimateProjs: Seq[(Int, Type, String, String, ExprId, NamedExpression)], _behavior: Type) extends ErrorAggregateFunction with GroupAggregate with Product with Serializable

   

3. trait ClosedFormStats extends StatVarianceCounter

   

4. case class ErrorEstimateAttribute(name: String, dataType: DataType, nullable: Boolean = true, metadata: Metadata = Metadata.empty, exprId: ExprId, realExprId: ExprId)(qualifier: Option[String] = None) extends Attribute with Unevaluable with Product with Serializable

   

5. class ErrorLimitExceededException extends RuntimeException

   

   The exception thrown when error percent is more than specified.

6. final class MultiTableStatCounterWithFullCount extends StatCounterWithFullCount

   

7. class StatCounterAggregator extends InternalRow with BaseGenericInternalRow with ClosedFormStats

   

8. case class StatCounterAggregatorCreator(aggType: Type) extends LeafExpression with Product with Serializable

   

9. case class StatCounterMergerer(left: Expression, right: Expression, aggregateType: Type) extends BinaryOperator with Product with Serializable

   

10. case class StatCounterUpdater(buffer: Expression, col: Expression, rawWeight: Expression, colDataType: DataType, isCount: Boolean) extends TernaryExpression with Product with Serializable

    

11. class StatCounterWithFullCount extends InternalRow with BaseGenericInternalRow with ClosedFormStats

    

    A class for tracking the statistics of a set of numbers (count, mean, variance and weightedCount) in a numerically robust way.

    A class for tracking the statistics of a set of numbers (count, mean, variance and weightedCount) in a numerically robust way. Includes support for merging two counters.

    Taken from Spark's StatCounter implementation removing max and min.