scikit-learn is a machine-learning library for Python that provides simple and efficient tools for data analysis and data mining, with a focus on machine learning.
I would like to have the norm of one NumPy array. More specifically, I am looking for an equivalent version …
python numpy scikit-learn statistics normalizationI am using sklearn and having a problem with the affinity propagation. I have built an input matrix and I …
python python-2.7 scikit-learn valueerrorI am using python 2.7 in Ubuntu 14.04. I installed scikit-learn, numpy and matplotlib with these commands: sudo apt-get install build-essential python-dev …
python scikit-learnI know I could implement a root mean squared error function like this: def rmse(predictions, targets): return np.sqrt(((…
python scikit-learn scipyI am getting the following error while trying to import from sklearn: >>> from sklearn import svm Traceback (…
python numpy scipy scikit-learnI'm trying to use scikit-learn's LabelEncoder to encode a pandas DataFrame of string labels. As the dataframe has many (50+) columns, …
python pandas scikit-learnI have a pandas data frame and I would like to able to predict the values of column A from …
python pandas scikit-learn regression statsmodelsHow can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression() lm.fit(x,y)
python numpy statistics scikit-learn regressionI am using scikit-learn for classification of text documents(22000) to 100 classes. I use scikit-learn's confusion matrix method for computing the …
python matplotlib matrix scikit-learn text-classificationIn shell script I am checking whether this packages are installed or not, if not installed then install it. So …
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