H2OIsolationForest

Isolation Forest is similar in principle to Random Forest and is built on the basis of decision trees.

Input

It takes in a DataFrame as input

Type

transform

Class

fire.nodes.h2o.NodeH2OIsolationForest

Fields

Details

Isolation Forest is similar in principle to Random Forest and is built on the basis of decision trees. Isolation Forest, however, identifies anomalies or outliers rather than profiling normal data points. Isolation Forest isolates observations by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of that selected feature. This split depends on how long it takes to separate the points.

More details are available at : http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/if.html