Description

The transformer normalizes the value of the vector to [-1,1] using the following formula:

x_scaled = x / abs(X_max)

Parameters

Name Description Type Required？ Default Value
selectedCol Name of the selected column used for processing String ✓
outputCol Name of the output column String null

Script Example

Script

  1. data = np.array([["a", "10.0, 100"],\
  2.     ["b", "-2.5, 9"],\
  3.     ["c", "100.2, 1"],\
  4.     ["d", "-99.9, 100"],\
  5.     ["a", "1.4, 1"],\
  6.     ["b", "-2.2, 9"],\
  7.     ["c", "100.9, 1"]])
  8. df = pd.DataFrame({"col" : data[:,0], "vec" : data[:,1]})
  9. data = dataframeToOperator(df, schemaStr="col string, vec string",op_type="batch")
  11. res = VectorMaxAbsScaler()\
  12.            .setSelectedCol("vec")
  13. res.fit(data).transform(data).collectToDataframe()

Result

col1 vec
c 1.0,0.01
b -0.024777006937561942,0.09
d -0.9900891972249752,1.0
a 0.09910802775024777,1.0
b -0.02180376610505451,0.09
c 0.9930624380574826,0.01
a 0.013875123885034686,0.01