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H2O

As explained in Outlier Detection in Python

H2O is a software platform for scalable machine learning and predictive analytics on large datasets.

H2O is an open-source platform for scalable machine learning and predictive analytics on large datasets, with interfaces for Python and other languages. section 10.2.5

H2O is useful when machine-learning workloads exceed ordinary single-machine workflows:

  • Integrates with big-data technologies such as Hadoop and Spark. section 10.2.5
  • Provides predictive models, deep neural networks, large language models, PCA, and outlier detectors including IF and Extended IF. section 10.2.5

How Outlier Detection in Python covers it

How deep it goes
Covers the platform’s broad capabilities and two outlier detectors without detailing H2O implementation procedures.
Examples
Names IF and Extended IF as H2O outlier detectors and places them alongside large-scale data-processing tools.
What you can do after
Operate scalable machine-learning workflows and select H2O’s IF or Extended IF detectors for large datasets.
How it connects
Connects scalable machine learning with predictive models, deep neural networks, large language models, PCA, Hadoop, Spark, and outlier detection.
Cover of Outlier Detection in Python
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