predict.dec.tree.class: Decision Tree Prediction
In ebridge2/badmf: Bayesian Decision-Making Forests (BaD-MFs)
Description
Usage
Arguments
Value
Author(s)
Description
A method for Decision Tree prediction. Predicts by pushing samples down
to a leaf node based on the split node criterion.
Usage
1
2
Arguments
object
a fit decision tree.
X
an [n, p] predictor to predict the class of. Must be specified in an appropriate
2d array, even if you only want a single sample predicted.
Value
an [n] array of predictions.
Author(s)
Eric Bridgeford
ebridge2/badmf documentation built on June 4, 2019, 8:53 a.m.
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Description Usage Arguments Value Author(s)
Description
A method for Decision Tree prediction. Predicts by pushing samples down to a leaf node based on the split node criterion.
Usage
1 2 |
Arguments
object |
a fit decision tree. |
X |
an |
Value
an [n] array of predictions.
Author(s)
Eric Bridgeford
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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