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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

Want Genuine Suggestion To Build Support Vector Machine In Python Without Using Scikit-learn

As i know how to build a Support Vector Machine using Scikit-Learn but now i want to make it from … Read more Want Genuine Suggestion To Build Support Vector Machine In Python Without Using Scikit-learn

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

Invalid Parameter Loss For Estimator Svr

This is my code i used grid search cv for hyper parameter tuning. but it shows error. param_grid = … Read more Invalid Parameter Loss For Estimator Svr

Predict Training Data In Sklearn

I use scikit-learn's SVM like so: clf = svm.SVC() clf.fit(td_X, td_y) My question is when I u… Read more Predict Training Data In Sklearn

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?

Cannot Understand Plotting Of Decision Boundary In Svm And Lr

For example we have f(x) = x. How to plot it? We take some x then calculate y and doing this operat… Read more Cannot Understand Plotting Of Decision Boundary In Svm And Lr

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