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Showing posts with the label Svm

Increase Speed For Svm With Polynomial Kernel

I am new to machine learning. I am using Support Vector Machines (SVM) with 'polynomial' ke… Read more Increase Speed For Svm With Polynomial Kernel

Set The Weights Of Decision Functions Through Stdin In Sklearn

Is there a method that I can input the coefficients to the clf of SVC in my script, then apply clf.… Read more Set The Weights Of Decision Functions Through Stdin In Sklearn

Probabilistic Svm, Regression

I've currently implemented a probabilistic (at least I think so) for binary classes. Now I want… Read more Probabilistic Svm, Regression

What Does Each Item Mean In Svmlight Format

I am very confused about what each part means in a svmLight data format. For example: (label/target… Read more What Does Each Item Mean In Svmlight Format

Visualize 2d / 3d Decision Surface In Svm Scikit-learn

I made sklearn svm classifier work. I simply classify 2 options 0 or 1 using feature vectors. It w… Read more Visualize 2d / 3d Decision Surface In Svm Scikit-learn

How To Plot A Python 3-dimensional Level Set?

I have some trouble plotting the image which is in my head. I want to visualize the Kernel-trick wi… Read more How To Plot A Python 3-dimensional Level Set?

How To Optimize Scikit One-class Training Time?

Essentially my questions is the same as SciKit One-class SVM classifier training time increases exp… Read more How To Optimize Scikit One-class Training Time?

Scaling Test Data To 0 And 1 Using Minmaxscaler

Using the MinMaxScaler from sklearn, I scale my data as below. min_max_scaler = preprocessing.MinMa… Read more Scaling Test Data To 0 And 1 Using Minmaxscaler