Machine Learning Module
New Binning Lookup stage
Binning Lookup applies existing bins to new data. These previously defined bins are created in dataflows using the Binning stage and then applied to new data in flows using the Binning Lookup stage.
New Linear Regression stage
Linear Regression creates continuous models from datasets that use continuous objectives with input variables.
New PCA stage
Principal Component Analysis (PCA) is a statistical process that converts a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables known as principal components.
New Random Forest Classification stage
Random Forest Classification creates binomial and multinomial models from datasets that use binary or multinomial objectives with input variables.
New Random Forest Regression stage
Random Forest Regression creates binomial models from datasets that use continuous objectives with input variables.
Administration Utility commands for Binning
- binning list—shows a list of all binnings on the server
- binning delete—deletes a binning from the server