ConvGeNBenchmarkResults/data_result/CTAB-GAN/imblearn_webpage.log

///////////////////////////////////////////
// Running CTAB-GAN on imblearn_webpage
///////////////////////////////////////////

Load 'data_input/imblearn_webpage'
from imblearn
non empty cut in data_input/imblearn_webpage! (76 points)
Data loaded.
-> Shuffling data
### Start exercise for synthetic point generator

====== Step 1/5 =======
-> Shuffling data
-> Spliting data to slices

------ Step 1/5: Slice 1/5 -------
-> Reset the GAN
-> Train generator for synthetic samples
Traceback (most recent call last):
  File "/benchmark/data/run_all_exercises.py", line 16, in <module>
    runExercise(dataset, None, name, generators[name])
  File "/benchmark/data/library/analysis.py", line 169, in runExercise
    avg = exercise.run(gan, data, resultsFileName=resultsFileName)
  File "/benchmark/data/library/exercise.py", line 127, in run
    self._exerciseWithDataSlice(gan, sliceData, imageFileName=imageFileName)
  File "/benchmark/data/library/exercise.py", line 170, in _exerciseWithDataSlice
    gan.train(dataSlice.train)
  File "/benchmark/data/library/generators/ctab.py", line 41, in train
    self.synthesizer.fit(train_data=pd.DataFrame(dataSet.data1))
  File "/benchmark/data/model/synthesizer/ctabgan_synthesizer.py", line 627, in fit
    layers_D = determine_layers_disc(self.dside, self.num_channels)
  File "/benchmark/data/model/synthesizer/ctabgan_synthesizer.py", line 422, in determine_layers_disc
    layer_dims = [(1, side), (num_channels, side // 2)]
TypeError: unsupported operand type(s) for //: 'NoneType' and 'int'