This directory contains 35 workflows.
Histogram analysis reveals the distribution of continuous numeric or date values in a column. Histogram analysis is also referred to as binning because it […]
The function performs cluster prediction on test data based on the cluster model generated by KMeans VALIB function and generates a dataset containing […]
The function performs fast K-Means clustering algorithm and returns cluster means and averages. Specifically, the rows associated with positive cluster IDs […]
Statistical tests of this type attempt to determine the likelihood that two distribution functions represent the same distribution.
Label encoding a categorical data column is done to re-express existing values of a column (variable) into a new coding scheme or to correct data quality […]
Linear Regression Scoring is the application of a Linear Regression model to an input data that contains the same independent variable columns contained in […]
Linear Regression is one of the fundamental types of predictive modeling algorithms. In linear regression, a dependent numeric variable is expressed in […]
Logistic Regression function model can be passed to a Logistic Regression Scoring function to create a score output containing predicted values of the […]
In Logistic Regression, a set of independent variables (in this case, columns) is processed to predict the value of a dependent variable (column) that […]
Matrix builds an extended sum-of-squares-and-cross-products (ESSCP) matrix or other derived matrix type from a teradataml DataFrame. The purpose of building […]
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