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ml_classification.clj
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ml_classification.clj
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(ns zero-one.geni.ml-classification
(:require
[zero-one.geni.interop :as interop]
[zero-one.geni.utils :refer [coalesce]])
(:import
(org.apache.spark.ml.classification DecisionTreeClassifier
GBTClassifier
LinearSVC
LogisticRegression
MultilayerPerceptronClassifier
NaiveBayes
OneVsRest
RandomForestClassifier)))
(defn logistic-regression [params]
(let [defaults {:max-iter 100,
:family "auto",
:tol 1.0E-6,
:raw-prediction-col "rawPrediction",
:elastic-net-param 0.0,
:reg-param 0.0,
:aggregation-depth 2,
:threshold 0.5,
:fit-intercept true,
:label-col "label",
:standardization true,
:probability-col "probability",
:prediction-col "prediction",
:features-col "features"}
std (coalesce (:standardisation params)
(:standardization params)
(:standardization defaults))
props (-> defaults
(merge params)
(assoc :standardization std))]
(interop/instantiate LogisticRegression props)))
(defn decision-tree-classifier [params]
(let [defaults {:max-bins 32,
:min-info-gain 0.0,
:impurity "gini",
:raw-prediction-col "rawPrediction",
:cache-node-ids false,
:seed 159147643,
:label-col "label",
:checkpoint-interval 10,
:probability-col "probability",
:max-depth 5,
:max-memory-in-mb 256,
:prediction-col "prediction",
:features-col "features",
:min-instances-per-node 1}
props (merge defaults params)]
(interop/instantiate DecisionTreeClassifier props)))
(defn random-forest-classifier [params]
(let [defaults {:max-bins 32,
:subsampling-rate 1.0,
:min-info-gain 0.0,
:impurity "gini",
:raw-prediction-col "rawPrediction",
:cache-node-ids false,
:seed 207336481,
:label-col "label",
:feature-subset-strategy "auto",
:checkpoint-interval 10,
:probability-col "probability",
:max-depth 5,
:max-memory-in-mb 256,
:prediction-col "prediction",
:features-col "features",
:min-instances-per-node 1,
:num-trees 20}
props (merge defaults params)]
(interop/instantiate RandomForestClassifier props)))
(defn gbt-classifier [params]
(let [defaults {:max-bins 32,
:subsampling-rate 1.0,
:max-iter 20,
:step-size 0.1,
:min-info-gain 0.0,
:impurity "gini",
:raw-prediction-col "rawPrediction",
:cache-node-ids false,
:seed -1287390502,
:label-col "label",
:feature-subset-strategy "all",
:checkpoint-interval 10,
:probability-col "probability",
:loss-type "logistic",
:max-depth 5,
:max-memory-in-mb 256,
:prediction-col "prediction",
:features-col "features",
:min-instances-per-node 1}
props (merge defaults params)]
(interop/instantiate GBTClassifier props)))
(defn mlp-classifier [params]
(let [defaults {:block-size 128,
:max-iter 100,
:step-size 0.03,
:tol 1.0E-6,
:raw-prediction-col "rawPrediction",
:seed -763139545,
:label-col "label",
:probability-col "probability",
:prediction-col "prediction",
:features-col "features",
:solver "l-bfgs"}
props (merge defaults params)]
(interop/instantiate MultilayerPerceptronClassifier props)))
(def multilayer-perceptron-classifier)
(defn linear-svc [params]
(let [defaults {:max-iter 100,
:tol 1.0E-6,
:raw-prediction-col "rawPrediction",
:reg-param 0.0,
:aggregation-depth 2,
:threshold 0.0,
:fit-intercept true,
:label-col "label",
:standardization true,
:prediction-col "prediction",
:features-col "features"}
std (coalesce (:standardisation params)
(:standardization params)
(:standardization defaults))
props (-> defaults
(merge params)
(assoc :standardization std))]
(interop/instantiate LinearSVC props)))
(defn one-vs-rest [params]
(let [defaults {:label-col "label",
:features-col "features",
:parallelism 1,
:raw-prediction-col "rawPrediction",
:prediction-col "prediction"}
props (merge defaults params)]
(interop/instantiate OneVsRest props)))
(defn naive-bayes [params]
(let [defaults {:smoothing 1.0,
:prediction-col "prediction",
:features-col "features",
:raw-prediction-col "rawPrediction",
:probability-col "probability",
:label-col "label",
:model-type "multinomial"}
props (merge defaults params)]
(interop/instantiate NaiveBayes props)))