create_dot_body

Writes each node information
If it is a leaf node: show it in different color, show number of samples, show leaf id
If it is a non-leaf node: show its splitting variable and splitting value

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

create_dot_body function

<dl><dt>tree</dt>
<dd>the tree to convert</dd>
<dt>index</dt>
<dd>the index of the current node</dd></dl>

Arguments

Writes each node information
If it is a leaf node: show it in different color, show number of samples, show leaf id
If it is a non-leaf node: show its splitting variable and splitting value — create_dot_body

<dl>

<dt>tree</dt>
<dd>the tree to convert</dd>


<dt>index</dt>
<dd>the index of the current node</dd>

</dl>

Writes each node information
If it is a leaf node: show it in different color, show number of samples, show leaf id
If it is a non-leaf node: show its splitting variable and splitting value

create_dot_body: Writes each node information If it is a leaf node: show it in different color, show number of samples, show leaf id If it is a non-leaf node: show its splitting variable and splitting value

Description

Usage

Arguments