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