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Transformers, Estimators, and Pipelines (3/5)
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There are three main abstractions in Apache Spark’s Machine Learning Library: Transformers, Estimators, and Pipelines. In this video, Conor discusses the transform and fit methods implemented in Transformers and Pipelines, respectively, and how they are used to construct a full machine learning Pipeline. Conor then walks through the implementation of such a pipeline using Spark in Databricks.
This is Part 3 of our Introduction to Machine Learning Video Series:
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Connect with us:
There are three main abstractions in Apache Spark’s Machine Learning Library: Transformers, Estimators, and Pipelines. In this video, Conor discusses the transform and fit methods implemented in Transformers and Pipelines, respectively, and how they are used to construct a full machine learning Pipeline. Conor then walks through the implementation of such a pipeline using Spark in Databricks.
This is Part 3 of our Introduction to Machine Learning Video Series:
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Connect with us:
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