From the course: Complete Guide to Advanced SQL Server

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Functions in the revoscalepy package

Functions in the revoscalepy package - SQL Server Tutorial

From the course: Complete Guide to Advanced SQL Server

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Functions in the revoscalepy package

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In addition to the libraries provided by Anaconda, Microsoft includes two of their own libraries when you install Machine Learning Services. The first one is called revoscalepy. revoscalepy contains a number of functions that are useful for working with the kinds of data sources that you're likely to find in large-scale SQL Server environments, such as big data clusters. For instance, there are functions that will help you access data stored in Apache Parquet files or dive into data that's on a Hadoop distributed file system. You can work with data through an ODBC connection or load data from a text file such as CSV. revoscalepy contains additional functions for creating statistical models, and statisticians might find these functions useful in their analysis work. Functions such as rx_lin_mod, which creates linear regression models, or rx_dforest that fit classification and regression decision forests. Then once a model is created, rx_predict can generate predictions and scores on a…

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