A library for machine learning algorithm written with Scala
current implemented algorithm:
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classifier:
Bayes Model:
BayesNet
NaiveBayes
Boost Model:
AdboostM1/M2
GBDT
LogitBoost
lazy model:
KNN
Logistic Model:
LR
softmax
Neural Network Model:
BP
RBF
Perceptron Model:
Kernel
Pocket
Linear
Voted
SVM Model:
SMO
Tree Model:
C4.5
CART
DesisionStump
ID3
RandomForest
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cluster:
GMM
simpleKMean
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recommander system:
SVD
Slopone
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marker problem:
HMM
----------------------------
regression:
boost model:
boosting tree
tree model:
CART
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Matrix decomposition:
qr(Householder/Givens Rotation)
lu/lup
SVD
LDA
----------------------------
other :
Discretization