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Describe the bug after training the model I tried t generate the data but I keep on getting the error "'CGAN' object has no attribute 'generator'"
To Reproduce Steps to reproduce the behavior: I am using colab to run the a notebook. Running the following lines of code
muti_class_data_synth = RegularSynthesizer(modelname='cgan', model_parameters=cgan_args)
muti_class_data_synth.load('cgan_multi_model.pkl')
cond_array = pd.DataFrame(100*[1], columns=['label'])
sample = muti_class_data_synth.sample(cond_array)
print(sample)
The text was updated successfully, but these errors were encountered:
Hi @Ahmadshahzad2 ,
thank you for your issue. Can you please confirm me the following info:
Sorry, something went wrong.
Hi @fabclmnt,
The environment only has the packages that were installed during installation of ' ydata-synthetic'. I downloaded the latest version "1.1.0".
Can you please share the whole code of even a python notebook so we can replicate the behaviour?
thank you for your understanding!
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Describe the bug
after training the model I tried t generate the data but I keep on getting the error "'CGAN' object has no attribute 'generator'"
To Reproduce
Steps to reproduce the behavior:
I am using colab to run the a notebook. Running the following lines of code
muti_class_data_synth = RegularSynthesizer(modelname='cgan', model_parameters=cgan_args)
muti_class_data_synth.load('cgan_multi_model.pkl')
cond_array = pd.DataFrame(100*[1], columns=['label'])
Synthesizer samples are returned in the original format (inverse_transform of internal processing already took place)
sample = muti_class_data_synth.sample(cond_array)
print(sample)
The text was updated successfully, but these errors were encountered: