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python Programming Glossary: sklearn

use scikit-learn to classify into multiple categories

http://stackoverflow.com/questions/10526579/use-scikit-learn-to-classify-into-multiple-categories

not sure what's going wrong in your example my version of sklearn apparently doesn't have WordNGramAnalyzer. Perhaps it's a question.. labels. The following works for me import numpy as np from sklearn.pipeline import Pipeline from sklearn.feature_extraction.text.. numpy as np from sklearn.pipeline import Pipeline from sklearn.feature_extraction.text import CountVectorizer from sklearn.svm..

Setting up scikit-learn - numpy errors on import

http://stackoverflow.com/questions/15282046/setting-up-scikit-learn-numpy-errors-on-import

learn using pip that's what I get when trying to imort sklearn import sklearn RuntimeError module compiled against API version.. pip that's what I get when trying to imort sklearn import sklearn RuntimeError module compiled against API version 8 but this.. 1 in module File usr local lib python2.7 site packages sklearn __init__.py line 32 in module from .base import clone File usr..

Working with big data in python and numpy, not enough ram, how to save partial results on disc?

http://stackoverflow.com/questions/16149803/working-with-big-data-in-python-and-numpy-not-enough-ram-how-to-save-partial-r

with 200k datapoints in python. I want to use numpy scipy sklearn networkx and other usefull libraries. I want to perform operations.. this in python and be able to use the numpy scipy sklearn and networkx libraries. I would like to be able to calculate..

How to calculate precision, recall and F-score with libSVM in python

http://stackoverflow.com/questions/16927964/how-to-calculate-precision-recall-and-f-score-with-libsvm-in-python

recall and f score as shown in the following snippet from sklearn import svm from sklearn import metrics from sklearn.cross_validation.. in the following snippet from sklearn import svm from sklearn import metrics from sklearn.cross_validation import train_test_split.. from sklearn import svm from sklearn import metrics from sklearn.cross_validation import train_test_split from sklearn.datasets..

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

.score X_test y_test File C Python33 lib site packages sklearn base.py line 279 in score return accuracy_score y self.predict.. y self.predict X File C Python33 lib site packages sklearn neighbors classification.py line 131 in predict neigh_dist neigh_ind.. self.kneighbors X File C Python33 lib site packages sklearn neighbors base.py line 254 in kneighbors warn_equidistant File..

plot decision boundary matplotlib

http://stackoverflow.com/questions/19054923/plot-decision-boundary-matplotlib

Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering?

http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means

mttiw # v large N sample N^1 2 N^1 2 of that # seed like sklearn N dim X.shape if nsample 0 nsample max 2 np.sqrt N 10 k Xsample..

Calculating the percentage of variance measure for k-means?

http://stackoverflow.com/questions/6645895/calculating-the-percentage-of-variance-measure-for-k-means

kmeans from scipy.spatial.distance import cdist pdist from sklearn import datasets from sklearn.decomposition import RandomizedPCA.. import cdist pdist from sklearn import datasets from sklearn.decomposition import RandomizedPCA from matplotlib import pyplot..

Python machine-learning library?

http://stackoverflow.com/questions/7326958/python-machine-learning-library

the relevant scikits.learn module import numpy as NP from sklearn import neighbors as kNN # load one of the sklearn suppplied.. NP from sklearn import neighbors as kNN # load one of the sklearn suppplied data sets from sklearn import datasets iris datasets.load_iris.. as kNN # load one of the sklearn suppplied data sets from sklearn import datasets iris datasets.load_iris # the call to load_iris..