¡@
python Programming Glossary: classifyuse scikit-learn to classify into multiple categories http://stackoverflow.com/questions/10526579/use-scikit-learn-to-classify-into-multiple-categories scikit learn to classify into multiple categories Im trying to use on of scikit learn's.. to use on of scikit learn's supervised learning methods to classify pieces of text into one or more categories. The predict function..
How can I read a Word 2007 .docx file? http://stackoverflow.com/questions/116139/how-can-i-read-a-word-2007-docx-file the text I have no interest in formatting I just want to classify documents as having or not having some special phrase . python..
Prepare data for text classification using Scikit Learn SVM http://stackoverflow.com/questions/13942744/prepare-data-for-text-classification-using-scikit-learn-svm Learn SVM I'm trying to apply SVM from Scikit learn to classify the tweets I collected. So there will be two categories name..
http://stackoverflow.com/questions/1449139/simple-object-recognition to be able to identify each object so that I can later classify and use them further in my calculations. In essence what I am..
Precomputed Kernels with LibSVM in Python http://stackoverflow.com/questions/2474460/precomputed-kernels-with-libsvm-in-python yet. I want to give a precomputed kernel to libsvm and classify a dataset but How can I generate a precomputed kernel for example..
http://stackoverflow.com/questions/4502656/how-to-sort-my-paws vector one element per basis vector that we can use to classify the image. Instead of comparing a 20x20 image to the 20x20 image.. vectors and the template vectors for each leg to classify which paw is which codebook np.load 'codebook.npy' # Template.. 'basis_vecs.npy' paw_code 0 'LF' 1 'RH' 2 'RF' 3 'LH' def classify paw paw paw.flatten paw average_paw scores paw.dot basis_vecs..
Finding k-nearest neighbors for a given vector? http://stackoverflow.com/questions/5684370/finding-k-nearest-neighbors-for-a-given-vector self.k min k len train_data self.distf distf def classify self x Ns sorted self.train_data key lambda xy self.distf xy.. 0 x return most_frequent y for x y in Ns self.k def batch_classify self xs return self.classify x for x in xs def train train_data.. x y in Ns self.k def batch_classify self xs return self.classify x for x in xs def train train_data k 1 distf count_different_values..
Named Entity Recognition for NLTK in Python. Identifying the NE http://stackoverflow.com/questions/5708352/named-entity-recognition-for-nltk-in-python-identifying-the-ne for NLTK in Python. Identifying the NE I need to classify words into their parts of speech. Like a verb a noun an adverb..
Sentiment analysis for Twitter in Python http://stackoverflow.com/questions/573768/sentiment-analysis-for-twitter-in-python appengine so it's in python. I'd like to be able to classify the returned search results from twitter and I'd like to do.. of knowledge engineering required up front for you to classify the 'seed set' off of which your model will learn. It needs..
Python machine-learning library? http://stackoverflow.com/questions/7326958/python-machine-learning-library machine learning library I need to classify some data with i hope nearest neighbour algorithm. I've googled..
python method to extract content (excluding navigation) from an HTML page http://stackoverflow.com/questions/796490/python-method-to-extract-content-excluding-navigation-from-an-html-page system to spam assassin. Define some rules that attempt to classify the information. Some examples 1 points for every 100 words..
http://stackoverflow.com/questions/9258825/recognize-images-in-python in advance you can standardize the image samples prior to classifying them. You would cut up the image into all the possible rectangles.. the methods here the end result would take a synthesis of classifying all of the smaller rectangles. So if given a tif the 'arrow'.. There is a lot of research on the subject of learning to classify images as well as work in cleaning up noise in images before..
|