Nice video! Try using the PARSynthesizer in a log example. It may seem simple, but it's actually very complex to achieve good results. (And it's highly recommended in companies ;) )
I am using it for a tabular data classification problem but it is throwing : ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int), After model.fit, please help.
Hey, congrats on the video. I'm trying to generate synthetic tabular data as well. With your tip I can create the field I want or are there fields already defined by the algorithm? For example, I wanted to create an emotions field and in that field store three emotions. It's possible?
Hi @thenewphase - I tried to implement CTGAN but I'm facing this error while generation. ValueError: Shape of passed values is (10, 2), indices imply (10, 3) I tried modifying the mapping of multiple categorical data but unless I move some continuous features as categorical, the model is prompting this error while generating synthetic data. Do you know the reason?
Thank you for sharing this useful video. But, unfortunately I am getting an error in the Table evaluator section. The error: TypeError: cdf() got an unexpected keyword argument 'local_ax' It would be great if you could help me address this issue.
Hey! I just found this video because I am looking for some explanation about CTGAN. I have a very relevant question for me: Can i give CTGAN conditions? I dont see where i could give it some input conditions such that it gives me my output data. I would really appreciate an answer!
@@next_phase i can run them separately but according to my task i have to run them simultaneously by using multithreading i think but i'm not able to do 🥲
This is one of the most clear and easy to follow videos on generate synthetic tabular data. Thank you so much! This will help me tremendously :)
Glad it was helpful!
Nice video! Try using the PARSynthesizer in a log example. It may seem simple, but it's actually very complex to achieve good results. (And it's highly recommended in companies ;) )
Thank you 😀Have been struggling to find an easy package for this
Yea! It is very handy!
This was very helpful for my project, thank you!
looks cool, i will try it and let you know
I am using it for a tabular data classification problem but it is throwing : ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int), After model.fit, please help.
Hey, congrats on the video. I'm trying to generate synthetic tabular data as well. With your tip I can create the field I want or are there fields already defined by the algorithm? For example, I wanted to create an emotions field and in that field store three emotions. It's possible?
Fields in your synthetic data should also exist in the original data. Otherwise, how can the algorithm make it?
@@next_phase How many lines, for example, would I have to have in my original data to create the synthetic data? Would there be many? Thanks.
Hi @thenewphase - I tried to implement CTGAN but I'm facing this error while generation.
ValueError: Shape of passed values is (10, 2), indices imply (10, 3)
I tried modifying the mapping of multiple categorical data but unless I move some continuous features as categorical, the model is prompting this error while generating synthetic data.
Do you know the reason?
I am also facing this issue
Check columns in which if any rows are blank....Put some value in it and then try ....It worked for me
@@ravirajpawar5772 THANK YOU SOOOOOO MUCH
why after restart for update table evaluator... the gcolab wont connect again
Thank you for sharing this useful video. But, unfortunately I am getting an error in the Table evaluator section. The error:
TypeError: cdf() got an unexpected keyword argument 'local_ax'
It would be great if you could help me address this issue.
Hey! I just found this video because I am looking for some explanation about CTGAN. I have a very relevant question for me: Can i give CTGAN conditions? I dont see where i could give it some input conditions such that it gives me my output data. I would really appreciate an answer!
unfortunately, you cannot give conditions. It produces data exactly similar to the input data.
But for some parameters it is generatiing negative values data how to handle that. In your video also it generated negative value for charges?
You should remove them in a post processing step manually
Thank you for fast reply 😅 ,............
just kidding you're video really helped Thanks
xD @@hasrat17
Bro how to create data using GaussianCopula, CTGAN, TVAE,CopulaGAN simultaneously
You have to run them separately, but they are pretty much the same. Just check the SDV documentation.
@@next_phase i can run them separately but according to my task i have to run them simultaneously by using multithreading i think but i'm not able to do 🥲
@@abhishektripathi68 hmm that is actually tricky.
@@next_phase ok😐 can you suggest me how to do in short
@@abhishektripathi68Tbh I don't know how to do it but I will look it up this weekend.
Hi dear how contact with you about problem solving?
Hello
You can send me a message on Telegram: @moeen_v
Or you can also book a free call on my Calendly. It is in the bio of the channel.
Thanks dear
Hi i need you help with something how to dm you?
contact me on telegram this is my id: @moeen_v