Re: [Scikit-learn-general] Multi Label classification using OneVsRest Classifier

2015-12-06 Thread Startup Hire
f.T.to_dict().values() > > # Create Fit_Transform > > b=vec.fit(train_dict) > a=b.transform(train_dict) > > > > I hope I am working in the right direction. Let me know your thoughts > > Regards, > Sanant > > > > > Subject: Re: [Sci

Re: [Scikit-learn-general] Multi Label classification using OneVsRest Classifier

2015-12-01 Thread Startup Hire
= train_df.T.to_dict().values() # Create Fit_Transform b=vec.fit(train_dict) a=b.transform(train_dict) I hope I am working in the right direction. Let me know your thoughts Regards, Sanant Subject: Re: [Scikit-learn-general] Multi Label classification using OneVsRest

Re: [Scikit-learn-general] Multi Label classification using OneVsRest Classifier

2015-12-01 Thread Andreas Mueller
Please provide the full traceback. What is the type of y here, and what are its entries? On 11/30/2015 07:45 PM, Startup Hire wrote: Hi Pypers, Hope you are doing well. I am doing multi label classification in which my X and Y are sparse matrices with Y properly binarized. Though my Y has

[Scikit-learn-general] Multi Label classification using OneVsRest Classifier

2015-11-30 Thread Startup Hire
Hi Pypers, Hope you are doing well. I am doing multi label classification in which my X and Y are sparse matrices with Y properly binarized. Though my Y has multi-labels properly binarized, I am getting the following error: Value Error: Multioutput target data is not supported with label