Package | Description |
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org.apache.flink.ml.recommendation |
Modifier and Type | Method and Description |
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scala.Option<scala.Tuple2<DataSet<ALS.Factors>,DataSet<ALS.Factors>>> |
ALS.factorsOption() |
scala.Option<scala.Tuple2<DataSet<ALS.Factors>,DataSet<ALS.Factors>>> |
ALS.factorsOption() |
static DataSet<ALS.Factors> |
ALS.generateRandomMatrix(DataSet<Object> users,
int factors,
long seed) |
DataSet<ALS.Factors> |
ALS$.generateRandomMatrix(DataSet<Object> users,
int factors,
long seed) |
DataSet<ALS.Factors> |
ALS.Factorization.itemFactors() |
static DataSet<ALS.Factors> |
ALS.unblock(DataSet<scala.Tuple2<Object,double[][]>> users,
DataSet<scala.Tuple2<Object,ALS.OutBlockInformation>> outInfo,
ALS.BlockIDPartitioner blockIDPartitioner)
Unblocks the blocked user and item matrix representation so that it is at DataSet of
column vectors.
|
DataSet<ALS.Factors> |
ALS$.unblock(DataSet<scala.Tuple2<Object,double[][]>> users,
DataSet<scala.Tuple2<Object,ALS.OutBlockInformation>> outInfo,
ALS.BlockIDPartitioner blockIDPartitioner)
Unblocks the blocked user and item matrix representation so that it is at DataSet of
column vectors.
|
DataSet<ALS.Factors> |
ALS.Factorization.userFactors() |
Constructor and Description |
---|
Factorization(DataSet<ALS.Factors> userFactors,
DataSet<ALS.Factors> itemFactors) |
Factorization(DataSet<ALS.Factors> userFactors,
DataSet<ALS.Factors> itemFactors) |
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