Type Members

1.  class TDigestAggregator[V] extends Aggregator[V, TDigest, TDigest]

   A spark Aggregator for sketching a numeric column with a t-digest

   A spark Aggregator for sketching a numeric column with a t-digest

   V

   the numeric value type

2.  class TDigestArrayAggregator[V] extends TDigestArrayAggregatorBase[Array[V]]

   A spark Aggregator for sketching an array of numeric values with an array of t-digests

   A spark Aggregator for sketching an array of numeric values with an array of t-digests

   V

   the numeric value type contained in the array

3.  abstract class TDigestArrayAggregatorBase[V] extends Aggregator[V, Array[TDigest], Array[TDigest]]

   A base class for aggregating over array-like collections of values.

   A base class for aggregating over array-like collections of values. Supplies all Aggregator methods except reduce, which is class specific. Maintains and returns an Array[TDigest], regardless of specific input type.

   V

   the specific array-like column type expected from input column

4.  class TDigestArrayReduceAggregator extends TDigestArrayAggregatorBase[Array[TDigest]]

   A spark Aggregator for reducing a column containing arrays of t-digests down to a single array of t-digests.

   A spark Aggregator for reducing a column containing arrays of t-digests down to a single array of t-digests. Therefore, in this Aggregator, 'reduce' and 'merge' both perform t-digest merge operations.

5.  class TDigestMLLibVecAggregator extends TDigestArrayAggregatorBase[Vector]

   A spark Aggregator for sketching the values in an MLLib Vector with an array of t-digests

6.  class TDigestMLVecAggregator extends TDigestArrayAggregatorBase[Vector]

   A spark Aggregator for sketching the values in an ML Vector with an array of t-digests

7.  class TDigestReduceAggregator extends Aggregator[TDigest, TDigest, TDigest]

   A spark Aggregator for reducing a column of t-digests down to a single t-digest.

   A spark Aggregator for reducing a column of t-digests down to a single t-digest. Therefore, in this Aggregator, 'reduce' and 'merge' both perform a t-digest merge operation.