[scikit-learn] Along with Predictive probability and class name how to get the multi-text(text) belonging to that class

2019-08-13 Thread Gunasekar K
Hi Team, Greetings!!! Assuming ''Humpty Dumpty" is text trained under given specific model belonging to class called "cartoon character" in multi-text classification model. *model.predict_proba([Invoice_parameter])*100* gives the probability of belongings to specific class. But how come I can r

Re: [scikit-learn] Predictive probability from cross_validate

2019-08-13 Thread Guillaume LemaƮtre
As the note is saying, you should not use this approach to evaluate your model. You should use cross_val_score instead. On Tue, 13 Aug 2019 at 04:30, charujing123 wrote: > hi > this function is exactly what i wanted. However, the description of this > function contained this: Passing these pred

Re: [scikit-learn] Along with Predictive probability and class name how to get the multi-text(text) belonging to that class

2019-08-13 Thread Guillaume LemaƮtre
I am unsure if it what you need but you can take the argmax (or call predict) and get the value of model.classes_. In short, model.classes_[model.predict([invoice_parameter])]. On Tue, 13 Aug 2019 at 09:01, Gunasekar K wrote: > Hi Team, > > Greetings!!! > > Assuming ''Humpty Dumpty" is text trai

Re: [scikit-learn] Along with Predictive probability and class name how to get the multi-text(text) belonging to that class

2019-08-13 Thread Gunasekar K
Thank you for your e-mail. I am not looking for class prediction, as I am using similar concept to recognize them. Exactly I am looking for the text which points to the class as identified by the model. "Humpty Dumpty sat on the wall" when above statement fed to the pre-trained/saved model it r

[scikit-learn] Fwd: [Nairobi, Kenya WiMLDS] OS sprint (June 2019): Impact Report

2019-08-13 Thread Reshama Shaikh
Hello, (I can't quite figure out how to respond to a thread on the mailing list, maybe because I receive a digest version.) Hi Joel, WiMLDS has 72 chapters worldwide... including... Australia: 1. Sydney (355 members) https://www.meetup.com/Sydney-Women-in-Machine-Learning-and-Data-Science/ 2. M