Description

VectorEleWiseProduct multiplies each input vector by a provided “scaling” vector. In other words, it scales each column of the data set by a scalar multiplier. This represents the Hadamard product between the input vector, v and transforming vector, w, to yield a result vector.

Parameters

Name Description Type Required？ Default Value
scalingVector scaling vector with str format String ✓
selectedCol Name of the selected column used for processing String ✓
outputCol Name of the output column String null
reservedCols Names of the columns to be retained in the output table String[] null

Script Example

Script

  1. data = [
  2.     ["1:3,2:4,4:7", 1],
  3.     ["0:3,5:5", 3],
  4.     ["2:4,4:5", 4]]
  6. # load data
  7. data = np.array([["1:3,2:4,4:7", 1],\
  8.     ["0:3,5:5", 3],\
  9.     ["2:4,4:5", 4]])
  10. df = pd.DataFrame({"vec" : data[:,0], "id" : data[:,1]})
  11. data = dataframeToOperator(df, schemaStr="vec string, id bigint",op_type="batch")
  12. vecEP = VectorElementwiseProduct().setSelectedCol("vec") \
  13.     .setOutputCol("vec1") \
  14.     .setScalingVector("$8$1:3.0 3:3.0 5:4.6")
  15. vecEP.transform(data).collectToDataframe()

Result

vec id vec1
1:3,2:4,4:7 1 1:9.0 2:0.0 4:0.0
0:3,5:5 3 0:0.0 5:23.0
2:4,4:5 4 2:0.0 4:0.0