predict_test_tree

internal

Learn optimal policies via doubly robust empirical
welfare maximization over trees. Given doubly robust reward estimates, this package
finds a rule-based treatment prescription policy, where the policy takes the form of
a shallow decision tree that is globally (or close to) optimal.

Erik Sverdrup

policytree

Policy Learning via Doubly Robust Empirical Welfare Maximization
over Trees

Ayush Kanodia

Zhengyuan Zhou

Susan Athey

Stefan Wager

predict_test_tree function

<dl><dt>tree</dt>
<dd>tree from make_tree</dd>
<dt>newdata</dt>
<dd>data matrix</dd></dl>

Arguments

Predict with the above test tree. — predict_test_tree

<dl>

<dt>tree</dt>
<dd>tree from make_tree</dd>


<dt>newdata</dt>
<dd>data matrix</dd>

</dl>

Predict with the above test tree.

predict_test_tree: Predict with the above test tree.

Description

Usage

Value

Arguments