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I have a custom kernel function, and I am using GridSearchCV function with SVC(kernel=my_kernel). m… Read more Is It Possible To Tune Parameters With Grid Search For Custom Kernels In Scikit-learn?

I'm implementing a multinomial logistic regression model in Python using scikit-learn. The thin… Read more Scikit-learn - Multinomial Logistic Regression With Probabilities As A Target Variable

I would like to be able to predict the rise/fall in death penalties for this dataset below This is … Read more Can I Show The Different Methods Of Death Penalties As Well As Predict Future Years

I have a folder with differently sized jpg images from which I'd like to generate a train and a… Read more Loading Jpg Of Different Sizes Into Numpy.array - Valueerror: Found Input Variables With Inconsistent Numbers Of Samples

I can return the covariance or the standard deviation from a GP using sklearn, like: y, cov = gp.pr… Read more Returning Cov And Std From Sklearn Gaussian Process?

I need to split colour channel of the image (specifically 'Cb') in 8x8 blocks in order to m… Read more How To Convert Array To Image Colour Channel In Python?

I'd like to analyze the predicted values of my random forest results in excel with the original… Read more Mapping Back Any Sklearn Result To The Original Dataframe

I am able to use code as in the example from the documentation, where the input to the fit_transfor… Read more Reading Documents From File When Using Sklearn.feature_extraction.text Countvectorizer

I was trying to plot a ROC curve by using the documentation provided by sklearn. My data is in a CS… Read more How To Plot A Roc Curve Using Dataframe Converted From Csv File

I have a large numpy array and when I run scikit learn's train_test_split to split the array in… Read more Memory Efficient Way To Split Large Numpy Array Into Train And Test

I am trying to create a subclass from sklearn.svm.LinearSVC for use as an estimator for sklearn.mod… Read more Subclassing Sklearn Linearsvc For Use As Estimator With Sklearn Gridsearchcv

I'm trying to figure out how to unscale my data (presumably using inverse_transform) for predic… Read more How To Inverse Transform Regression Predictions After Lasso And Robustscalar?

I want to find the number of regression coefficients in the first column of my dataframe. My code r… Read more Typeerror: Object Of Type 'numpy.float64' Has No Len() When Printing The Regression Coefficient Of The First Column In Dataframe

I was playing with the decision tree algorithm and trying to plot the tree. However the IDE reporte… Read more Nameerror: Global Name 'dot_parser' Is Not Defined

I'm a newbie to python as well as machine learning. As per my requirement, I'm trying to us… Read more Facing Valueerror: Target Is Multiclass But Average='binary'

I am running Python 2.7 (64-bit) on a Windows 8 64-bit system with 24GB memory. When doing the fitt… Read more Python Memoryerror When Doing Fitting With Scikit-learn

I am trying to find the right number of clusters, k, according to silhouette scores using sklearn.c… Read more Minibatchkmeans Overflowerror: Cannot Convert Float Infinity To Integer?

I am trying to normalize a CSR matrix, but I get this error: (*** TypeError: No matching signature… Read more Sklearn Preprocessing -- *** Typeerror: No Matching Signature Found

I had a question about how I can use gaussianHMM in the scikit-learn package to train on several di… Read more Scikit Learn Hmm Training With Set Of Observation Sequences

I am trying to run the following code: from sklearn.model_selection import StratifiedKFold X = [&#… Read more Valueerror: N_splits=10 Cannot Be Greater Than The Number Of Members In Each Class