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python Programming Glossary: classificationImplementing Bag-of-Words Naive-Bayes classifier in NLTK http://stackoverflow.com/questions/10098533/implementing-bag-of-words-naive-bayes-classifier-in-nltk Is that the case How can I do frequency bag of words NB classification with NLTK python nlp machine learning nltk bayesian share..
use scikit-learn to classify into multiple categories http://stackoverflow.com/questions/10526579/use-scikit-learn-to-classify-into-multiple-categories print Y_pred Result 'New York' 'London' 'London' python classification scikit learn share improve this question What you want is.. this question What you want is called multi label classification. Scikits learn can do that. See here http scikit learn.org dev..
Python: Possible to share in-memory data between 2 separate processes http://stackoverflow.com/questions/1268252/python-possible-to-share-in-memory-data-between-2-separate-processes in modern languages including Python falls under this classification. In extreme but sufficiently simple cases one can obtain sharing..
How does sklearn.svm.svc's function predict_proba() work internally? http://stackoverflow.com/questions/15111408/how-does-sklearn-svm-svcs-function-predict-proba-work-internally I am using sklearn.svm.svc from scikit learn to do binary classification. I am using its predict_proba function to get probability estimates...
Classifying Documents into Categories http://stackoverflow.com/questions/3113428/classifying-documents-into-categories like a good starting point if you can suggest a better classification algorithm for this task I'm all ears . My problem is that I.. the fastest rabbit on earth for large scale document classification problems but not easy to use python wrappers AFAIK . share..
An example using python bindings for SVM library, LIBSVM http://stackoverflow.com/questions/4214868/an-example-using-python-bindings-for-svm-library-libsvm bindings for SVM library LIBSVM I am deeply in need of a classification task example using LibSVM in python. The most important thing..
http://stackoverflow.com/questions/4502656/how-to-sort-my-paws which paw is which and the problem reduces to a supervised classification With some additional wrinkles... Image recognition is a bit.. Image recognition is a bit harder than a normal supervised classification problem . Pattern Analysis To elaborate on the first method.. return problems Therefore even though the simple spatial classification doesn't work all of the time we can determine when it does work..
Sentiment analysis for Twitter in Python http://stackoverflow.com/questions/573768/sentiment-analysis-for-twitter-in-python in search which aim to do just this but unfortunately the classification provided by them isn't that great so I figured I might give.. have to roll much of your own code for a statistical classification task. As Lucka suggested NLTK is the perfect tool for natural.. be easily interfaced with Python. This has been used for classification tasks in various areas of natural language processing. You also..
why would I put python code in __init__.py files http://stackoverflow.com/questions/5831148/why-would-i-put-python-code-in-init-py-files forms module are defined in different files based on their classification. forms __init__.py extras ... fields.py forms.py widgets.py..
Simple Digit Recognition OCR in OpenCV-Python http://stackoverflow.com/questions/9413216/simple-digit-recognition-ocr-in-opencv-python the arrays in seperate txt files. At the end of manual classification of digits image will look like below Below is the code i used..
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