Description

Sample with given ratio with or without replacement.

Parameters

Name Description Type Required？ Default Value
ratio sampling ratio, it should be in range of [0, 1] Double ✓
withReplacement Indicates whether to enable sampling with replacement, default is without replcement Boolean false

Script Example

Script

  1. data = np.array([
  2.     ["-0.6264538 0.1836433"],
  3.     ["-0.8356286 1.5952808"],
  4.     ["0.3295078 -0.8204684"],
  5.     ["0.4874291 0.7383247"],
  6.     ["0.5757814 -0.3053884"],
  7.     ["1.5117812 0.3898432"],
  8.     ["-0.6212406 -2.2146999"],
  9.     ["11.1249309 9.9550664"],
  10.     ["9.9838097 10.9438362"],
  11.     ["10.8212212 10.5939013"],
  12.     ["10.9189774 10.7821363"],
  13.     ["10.0745650 8.0106483"],
  14.     ["10.6198257 9.9438713"],
  15.     ["9.8442045 8.5292476"],
  16.     ["9.5218499 10.4179416"],
  17. ])
  19. df_data = pd.DataFrame({
  20.     "features": data[:, 0],
  21. })
  23. data = dataframeToOperator(df_data, schemaStr='features string', op_type='stream')
  25. sampleOp = SampleStreamOp().setRatio(0.3)
  27. data.link(sampleOp).print()
  29. StreamOperator.execute()

Result

features
10.9189774 10.7821363
10.0745650 8.0106483”