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Showing posts with the label Svm

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

Loading A Dataset For Linear Svm Classification From A Csv File

I have a csv file below called train.csv: 25.3, 12.4, 2.35, 4.89, 1, 2.35, 5.65, 7, 6.24, 5.52, … Read more Loading A Dataset For Linear Svm Classification From A Csv File

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

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

Plot Hyperplane Linear Svm Python

I am trying to plot the hyperplane for the model I trained with LinearSVC and sklearn. Note that I … Read more Plot Hyperplane Linear Svm Python

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

Having Different Results Every Run With Gmm Classifier

I'm currently doing a speech recognition and machine learning related project. I have two class… Read more Having Different Results Every Run With Gmm Classifier