tests/testthat/_snaps/sklearn-scalers.md

In rgudhi: An Interface to the GUDHI Library for Topological Data Analysis

Scalers work

Code
  mas$get_python_class()$fit_transform(X)
Output
             [,1]       [,2]
  [1,] -0.5145871  0.5685780
  [2,]  0.1182715 -0.6457478
  [3,]  0.4623107 -0.6141670
  [4,] -1.0000000 -0.6341888
  [5,]  0.1829412 -1.0000000

Code
  mms$get_python_class()$fit_transform(X)
Output
            [,1]      [,2]
  [1,] 0.3319492 1.0000000
  [2,] 0.7647291 0.2258429
  [3,] 1.0000000 0.2459763
  [4,] 0.0000000 0.2332120
  [5,] 0.8089534 0.0000000

Code
  rs$get_python_class()$fit_transform(X)
Output
              [,1]       [,2]
  [1,] -0.90728741  38.085382
  [2,]  0.00000000  -0.366014
  [3,]  0.49322616   0.633986
  [4,] -1.60319171   0.000000
  [5,]  0.09271259 -11.583344

Code
  ss$get_python_class()$fit_transform(X)
Output
             [,1]       [,2]
  [1,] -0.6853872  1.9274577
  [2,]  0.5050182 -0.3368354
  [3,]  1.1521550 -0.2779483
  [4,] -1.5984477 -0.3152819
  [5,]  0.6266616 -0.9973920

rgudhi documentation built on March 31, 2023, 11:38 p.m.