In support vector machine, thr equation is transpose of ‘w’ multiplied by ‘x’ plus the bias.
please tell me what are w and x here? what data is there in these vectors?
Section: Support Vector Machines
Hey @settingsingh, x is a numpy array of shape (1,n) where and n = no. of features. w is array of shape(n,1) and is the weight matrix, and b is the bias term. x contains the feature value for all features for a single data point, w represents all weights w1, w2 etc.
Hope this resolved your doubt
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