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python Programming Glossary: train

Python: tf-idf-cosine: to find document similarity

http://stackoverflow.com/questions/12118720/python-tf-idf-cosine-to-find-document-similarity

stopwords import numpy as np import numpy.linalg as LA train_set The sky is blue. The sun is bright. #Documents test_set.. vectorizer transformer TfidfTransformer #print transformer trainVectorizerArray vectorizer.fit_transform train_set .toarray testVectorizerArray.. transformer trainVectorizerArray vectorizer.fit_transform train_set .toarray testVectorizerArray vectorizer.transform test_set..

Is switching from PHP to Python worth the trouble [closed]

http://stackoverflow.com/questions/1486608/is-switching-from-php-to-python-worth-the-trouble

can be learned in an afternoon. So it's easy and cheap to train new developers Getting to know the frameworks and the standard..

How do I resolve 'NoneType' object has no attribute 'write' error with scikit-learn digits dataset?

http://stackoverflow.com/questions/17139658/how-do-i-resolve-nonetype-object-has-no-attribute-write-error-with-scikit-le

scikit_exercise.py line 30 in module print knn.fit X_train y_train .score X_test y_test File C Python33 lib site packages.. line 30 in module print knn.fit X_train y_train .score X_test y_test File C Python33 lib site packages sklearn.. y_digits digits.target n_samples len X_digits X_train X_digits .9 n_samples y_train y_digits .9 n_samples X_test X_digits..

Classifying Documents into Categories

http://stackoverflow.com/questions/3113428/classifying-documents-into-categories

all ears . My problem is that I don't have enough RAM to train the NaiveBayesClassifier on all 150 categoies 300k documents.. on all 150 categoies 300k documents at once training on 5 categories used 8GB . Furthermore accuracy of the classifier.. Furthermore accuracy of the classifier seems to drop as I train on more categories 90 accuracy with 2 categories 81 with 5 61..

How to write the Fibonacci Sequence in Python

http://stackoverflow.com/questions/494594/how-to-write-the-fibonacci-sequence-in-python

to read what you need. Project Euler google for it will train you to do so P Good luck and have fun share improve this answer..

Howto get all methods of a python class with given decorator

http://stackoverflow.com/questions/5910703/howto-get-all-methods-of-a-python-class-with-given-decorator

attribute annotation will be lost. For example in a train of @decoOutermost @deco @decoInnermost def func ... you can..

custom tagging with nltk

http://stackoverflow.com/questions/5919355/custom-tagging-with-nltk

form more frequently than the noun form Is there a way to train a tagger Is there a better way altogether python nltk share.. as long as you have an appropriate default tagger. You can train your own taggers using train_tagger.py from nltk trainer and.. default tagger. You can train your own taggers using train_tagger.py from nltk trainer and an appropriate corpus. share..

Python name mangling: When in doubt, do what?

http://stackoverflow.com/questions/7456807/python-name-mangling-when-in-doubt-do-what

from the other languages I come from languages that train you to think everything should be only as public as needed and..

pybrain: how to print a network (nodes and weights)

http://stackoverflow.com/questions/8150772/pybrain-how-to-print-a-network-nodes-and-weights

to print a network nodes and weights finally I managed to train a network from a file Now I want to print the nodes and the.. and the weights especially the weights because I want to train the network with pybrain and then implement a NN somewhere else..

Simple Digit Recognition OCR in OpenCV-Python

http://stackoverflow.com/questions/9413216/simple-digit-recognition-ocr-in-opencv-python

I have 100 samples images of each digit. I would like to train with them. There is a sample letter_recog.py that comes with.. samples responses a 1 a 0 model cv2.KNearest retval model.train samples responses retval results neigh_resp dists model.find_nearest.. work atleast with least accuracy I took below image for my training data I know the amount of training data is less. But since..

Why does python use 'else' after for and while loops?

http://stackoverflow.com/questions/9979970/why-does-python-use-else-after-for-and-while-loops

or continuewith would make more sense and I'm trying to train myself to read it as such . I'm wondering how Python coders..