KNN (ML Engine) |
Uses the kNN algorithm to classify new objects based on their proximity to already-classified objects. |
AdaBoost Functions (ML Engine) |
Create a predictive model based on the AdaBoost algorithm. |
Cox Functions (ML Engine) |
Cox proportional hazards model functions. |
Decision Forest Functions (ML Engine) |
Create a predictive model based on a combination of the classification and regression trees (CART) algorithm for training decision trees and the ensemble learning method of bagging. |
Decision Tree Functions (ML Engine) |
Create a predictive model that has a single decision tree. |
Generalized Linear Model (GLM) Functions (ML Engine) |
Perform linear regression analysis for distribution functions using a user-specified distribution family and link function. |
Least Angle Regression (LAR) Functions (ML Engine) |
Selects the most important variables one by one and fit the coefficients dynamically. |
Linear Regression Functions (ML Engine) |
Create and use linear regression model. |
Naive Bayes Functions (ML Engine) |
Train a Naive Bayes classification model and use the model to predict new outcomes. |
Support Vector Machine (SVM) Functions (ML Engine) |
Creates a predictive model based on a support vector machine, using a linear or nonlinear kernel. |
XGBoost Functions (ML Engine) |
Create a predictive model based on the GradientBoost algorithm. |