forked from zero-one-group/geni
/
recommendation.clj
51 lines (42 loc) · 1.79 KB
/
recommendation.clj
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(ns zero-one.geni.ml.recommendation
(:require
[zero-one.geni.interop :as interop])
(:import
(org.apache.spark.ml.recommendation ALS)))
(defn als [params]
(let [defaults {:implicit-prefs false,
:max-iter 10,
:intermediate-storage-level "MEMORY_AND_DISK",
:cold-start-strategy "nan",
:num-item-blocks 10,
:user-col "user",
:rank 10,
:nonnegative false,
:reg-param 0.1,
:seed 1994790107,
:final-storage-level "MEMORY_AND_DISK",
:checkpoint-interval 10,
:item-col "item",
:alpha 1.0,
:rating-col "rating",
:prediction-col "prediction",
:num-user-blocks 10}
props (merge defaults params)]
(interop/instantiate ALS props)))
(def alternating-least-squares als)
(defn recommend-for-all-users [model num-items]
(.recommendForAllUsers model num-items))
(defn recommend-for-all-items [model num-users]
(.recommendForAllItems model num-users))
(defn recommend-for-user-subset [model users-df num-items]
(.recommendForUserSubset model users-df num-items))
(defn recommend-for-item-subset [model items-df num-users]
(.recommendForItemSubset model items-df num-users))
(defn recommend-items
([model num-items] (recommend-for-all-users model num-items))
([model users-df num-items] (recommend-for-user-subset model users-df num-items)))
(defn recommend-users
([model num-users] (recommend-for-all-items model num-users))
([model items-df num-users] (recommend-for-item-subset model items-df num-users)))
(defn item-factors [model] (.itemFactors model))
(defn user-factors [model] (.userFactors model))