Implementing logistic regression with Incanter
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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