Matlab Gaussian Plot How To Change Your

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I have used mapfeature function for polynomial features.

I referred Prof Andrews notes on logistic regression with regularization).

Fortunately my cost function (jtheta) works fine and decreases after every iteration and I get my final theta value.

The problem that I face now is HOW DO I PLOT THE DECISION BOUNDARY here.

We choose a step size of 1.5 and then for each point in the grid, we call the model predictor -- mapfeature(u,v) x theta to get the point score.

Finally the plot is drawn by calling contour function in matlab.

I was wondering if there is something by which I can convert the data back to 2D feature set and get the decision boundary.

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