![]() This function is implemented as a Multi-Phase Transform function, and employs the powerful Vertica distributed execution engine to run at scale. It takes an input relation with numerical columns, and calculates Pearson Correlation Coefficient between each pair of its input columns. Vertica has a function, named CORR_MATRIX (as of Vertica 9.2SP1) for calculating a correlation matrix. This can involve many things, but discovering which features correlate with each other is one key aspect. ![]() Generally, the first thing you need to do is explore your data. This will be the first post where we discuss some of the steps involved in the in-database machine learning workflow. ![]() In the first machine learning in a database post, we discussed some of the reasons why it makes sense to do your machine learning data analytics inside the database.
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