rf_classifier: construct a random forest wrapper classifier
In bbuchsbaum/multivarious: Extensible Data Structures for Multivariate Analysis
rf_classifier R Documentation
construct a random forest wrapper classifier
Description
Given a model object (e.g. projector construct a random forest classifier that can generate predictions for new data points.
Usage
rf_classifier(x, colind, ...)
Arguments
x
the model object
colind
the (optional) column indices used for prediction
...
extra arguments to randomForest function
Value
a random forest classifier
bbuchsbaum/multivarious documentation built on April 15, 2024, 3:33 a.m.
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| rf_classifier | R Documentation |
construct a random forest wrapper classifier
Description
Given a model object (e.g. projector construct a random forest classifier that can generate predictions for new data points.
Usage
rf_classifier(x, colind, ...)
Arguments
x |
the model object |
colind |
the (optional) column indices used for prediction |
... |
extra arguments to |
Value
a random forest classifier
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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