Visualization of Enhanced Spark Induced Naive Bayes Classifier - Barry Becker
927 views · Published 12 June 2017 · 27:32 · Indexed 10 November 2026
Channel: Databricks · 2017 · Science & Technology
The Naive Bayes classifier provided by Apache Spark out of the box is quite limited. It was intended primarily for document classification. It does not automatically handle continuous features, strings, null values, or any sort of visualization of the resulting model. In this session, you'll learn about changes made to allow it to work on datasets with any sort of column types. More importantly, you'll get a demonstration of how the model can be visualized in order to gain insight, and interactively apply it to new data. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
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