pub type MultiLogisticRegression<F> = LogisticRegressionParams<F, Ix2>;Expand description
A multinomial class logistic regression model.
The output labels can map to any discrete feature space, since the algorithm calculates the
likelihood of a feature vector corresponding to any given outcome using the softmax function
softmax(x) = exp(x) / sum(exp(xi))
l2 regularization is used by this algorithm and is weighted by parameter alpha. Setting alpha
close to zero removes regularization and the problem solved minimizes only the
empirical risk. On the other hand, setting alpha to a high value increases
the weight of the l2 norm of the linear model coefficients in the cost function.
Aliased Typeยง
struct MultiLogisticRegression<F>(/* private fields */);