Greedy optimization for minimizing the mean squared error. Works for classification and regression.
greedyMSE(X, Y, max_iter = 100L)
A list with components:
A numeric matrix of model_weights.
A numeric scalar of the root mean squared error.
An integer scalar of the maximum number of iterations.
A numeric matrix of features.
A numeric matrix of target values.
An integer scalar of the maximum number of iterations.