V2.1: Analyze ADM Trees

[StijnKas]

V2.1: Analyze ADM Trees

This release introduces a new class: ADMTrees. With ADMTrees you can analyze and visualize ADM Gradient boosting models.

Some new features include:

• Analyze predictors and their splits
• Visualize individual trees within the ensemble
• Visualize the prediction path of the model, given input data
• Replicate the scoring of the model
• Visualize the contribution of each tree towards the final score

For inspiration on how to use ADMTrees, check out this example: https://pegasystems.github.io/cdh-datascientist-tools/Python/articles/AGBModelVisualisation.html. There you can also find the API reference documentation.

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This discussion was created from the release V2.1: Analyze ADM Trees.