September 2015
Beginner to intermediate
608 pages
13h 43m
English
We can define a logistic regression function with Incanter's minimize function as follows:
(defn logistic-regression [ys xs]
(let [cost-fn (fn [coefs]
(let [classify (sigmoid-function coefs)
y-hats (map (comp classify i/trans) xs)]
(logistic-cost ys y-hats)))
init-coefs (repeat (i/ncol xs) 0.0)]
(o/minimize cost-fn init-coefs)))The cost-fn accepts a matrix of coefficients. We create a classifier from the coefficients using the sigmoid-function previously defined, and a sequence of predictions, y-hats, based on the input data. Finally, we can calculate and return the logistic-cost value based on the provided coefficients.
To perform logistic regression, we minimize the logistic cost-fn by selecting the ...
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