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ML algorithms logic (Classification (Gradient boosted tree classifier…
ML algorithms logic
Classification
Logistic regression
Binomial
MaxIter
RegParam
ElasticNetParam
Multinomial
Family (=multinomial)
Decision tree classifier
LabelCol
FeaturesCol
Random forest classifier
NumTrees
Gradient boosted tree classifier
FeatureSubsetStrategy
Multilayer perceptron classifier
Layers
BlockSize
Seed
Linear support vector machine
One-vs-Rest (One-vs-All)
Classifier
Naive Bayes
Regression
Linear regression
MaxIter
RegParam
ElasticNetSearch
Generalized linear regression
Family
Link
Decision tree regression
FeaturesCol
LabelCol
Random forest regression
Gradient-boosted tree regression
Survival
QuantileProbabilities
QuantilesCol
Isotonic
Clustering
K-means
K
Seed
Latent Dirihle allocation
MaxIter
Bisecting k-means
Gaussian mixture model
RDD-ML algorithms logic
Classification
Multi classification
Logistic regression
with Limited-memory BGFS (LogisticRegressionWithLBFGS) (recommended)
NumClasses
with SGD (LogisticRegressionWithSGD)
Binary classification
Linear support vector machines (SVMWithSGD)
NumIterations
RegParam
Updater
Regression
Linear least squares
LinearRegressionWithSGD
StepSize
NumIterations
Lasso
LassoWithSGD
Ridge regression
RidgeWithSGD