smile.classification — org.clojars.haifengl/smile 2.3.0

Classification Algorithms

adaboost clj

(adaboost formula data)

(adaboost formula data ntrees max-depth max-nodes node-size)

Adaptive Boosting.

cart clj

(cart formula data)

(cart formula data split-rule max-depth max-nodes node-size)

Decision tree.

fld clj

(fld x y)

(fld x y L tol)

Fisher's linear discriminant.

gbm clj

(gbm formula data)

(gbm formula data ntrees max-depth max-nodes node-size shrinkage subsample)

Gradient boosted classification trees.

knn clj

(knn x y)

(knn x y k)

(knn x y k distance)

K-nearest neighbor classifier.

lda clj

(lda x y)

(lda x y priori tol)

Linear discriminant analysis.

logit clj

(logit x y)

(logit x y lambda tol max-iter)

Logistic regression.

maxent clj

(maxent x y p)

(maxent x y p lambda tol max-iter)

Maximum Entropy classifier.

mlp clj

(mlp x y builders)

(mlp x y builders epochs eta alpha lambda)

Multilayer perceptron neural network.

qda clj

(qda x y)

(qda x y priori tol)

Quadratic discriminant analysis.

random-forest clj

(random-forest formula data)

(random-forest formula
               data
               ntrees
               mtry
               split-rule
               max-depth
               max-nodes
               node-size
               subsample)

Random forest.

rbfnet clj

(rbfnet x y neurons)

(rbfnet x y neurons normalized)

Radial basis function networks.

rda clj

(rda x y alpha)

(rda x y alpha priori tol)

Regularized discriminant analysis.

svm clj

(svm x y kernel C)

(svm x y kernel C tol)

Support vector machine.