Description

MaxAbsScaler transforms a dataset of Vector rows,rescaling each feature to range [-1, 1] by dividing through the maximum absolute value in each feature.

Parameters

Name Description Type Required？ Default Value
selectedCols Names of the columns used for processing String[] ✓
outputCols Names of the output columns String[] null

Script Example

Script

  1. data = np.array([
  2.             ["a", 10.0, 100],
  3.             ["b", -2.5, 9],
  4.             ["c", 100.2, 1],
  5.             ["d", -99.9, 100],
  6.             ["a", 1.4, 1],
  7.             ["b", -2.2, 9],
  8.             ["c", 100.9, 1]
  9. ])
  11. colnames = ["col1", "col2", "col3"]
  12. selectedColNames = ["col2", "col3"]
  14. df = pd.DataFrame({"col1": data[:, 0], "col2": data[:, 1], "col3": data[:, 2]})
  15. inOp = dataframeToOperator(df, schemaStr='col1 string, col2 double, col3 long', op_type='batch')
  18. sinOp = dataframeToOperator(df, schemaStr='col1 string, col2 double, col3 long', op_type='stream')
  21. model = MaxAbsScaler()\
  22.            .setSelectedCols(selectedColNames)\
  23.            .fit(inOp)
  25. model.transform(inOp).print()
  27. model.transform(sinOp).print()
  29. StreamOperator.execute()

Results

  1.   col1      col2  col3
  2. 0    a  0.099108  1.00
  3. 1    b -0.024777  0.09
  4. 2    c  0.993062  0.01
  5. 3    d -0.990089  1.00
  6. 4    a  0.013875  0.01
  7. 5    b -0.021804  0.09
  8. 6    c  1.000000  0.01