From the course: SQL Server Machine Learning Services: Python

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Functions in the revoscalepy package

Functions in the revoscalepy package

From the course: SQL Server Machine Learning Services: Python

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Functions in the revoscalepy package

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- [Instructor] 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. Revoscaleby 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'll 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 rxLinMod, which creates linear regression models, or rxDForest, that fit classification and regression decision forests. Then, once a model is created, rxPredict can generate predictions and…

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