evaluate_rules_to_binary: Evaluate Rules to Binary Indicators
In blind-contours/CVtreeMLE: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
evaluate_rules_to_binary R Documentation
Evaluate Rules to Binary Indicators
Description
Evaluate Rules to Binary Indicators
Usage
evaluate_rules_to_binary(rules, data, Y)
Arguments
rules
List of rules
data
Data to evaluate rules on
Y
Outcome that is appended to the binary data
Details
Takes in a list of rules and outputs a binary matrix
blind-contours/CVtreeMLE documentation built on June 22, 2024, 8:53 p.m.
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| evaluate_rules_to_binary | R Documentation |
Evaluate Rules to Binary Indicators
Description
Evaluate Rules to Binary Indicators
Usage
evaluate_rules_to_binary(rules, data, Y)
Arguments
rules |
List of rules |
data |
Data to evaluate rules on |
Y |
Outcome that is appended to the binary data |
Details
Takes in a list of rules and outputs a binary matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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