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생산성 및 협업 · SKILL.md

tree-models

tree-models

Tree-based causal and uplift model workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: tree-models description: "Tree-based causal and uplift model workflows." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

tree-models

Use this sub-skill for causal trees, uplift trees, tree ensembles, tree plots, and tree persistence.

Route here when the request is about

  • CausalTreeRegressor or CausalRandomForestRegressor
  • UpliftTreeClassifier or UpliftRandomForestClassifier
  • tree visualization or tree-string rendering
  • save / load for tree models
  • compiled-extension or tree-import failures

Open the matching reference

Guardrails

  • CausalRandomForestRegressor has no fit_predict; use fit(...) and then predict(...).
  • UpliftTreeClassifier uses fill(...) and prune(...) for validation-set updates.
  • uplift_tree_string(...) prints the ASCII tree, and uplift_tree_plot(...) returns a graph object.
  • Keep class-specific persistence, visualization, and failure-handling details in the bundled references.
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