Comments (3)
Its already implemented. In contrast to your proposal, the "data" contains both x and y variables. The y variable is identified by passing dependent.variable.name
. All other columns are used as x:
ranger(dependent.variable.name = "Species", data = iris)
(for classification, you would need to add the option "classification =TRUE").
from ranger.
How about a wrapper something like this then?
ranger <- function(x, y, ...){
ranger(dependent.variable.name = colnames(y)[1], data = cbind(x, y), ...)
}
from ranger.
Thanks @mayer79 for your answer. One small addition: classification =TRUE
is only needed when data
is a matrix (and therefore the response column can't be a factor).
The wrapper suggested in the last post would increase the runtime for large dataset by using cbind
, which we try to avoid by the non-formula interface.
However, I'm thinking to switch to the x-y interface internally sometime. The current approach is due to the pure C++ version, where it is easier to handle all data in one file.
from ranger.
Related Issues (20)
- Increasing mtry crashes ranger fit HOT 3
- make fails => cannot compile C++ source on Mac HOT 2
- Error updating the package HOT 14
- warnings generated running 'Understanding random forests with randomForestExplainer' code HOT 1
- num.threads causing crashes inside caret recursive feature elimination wrapper HOT 1
- Results from importance_pvalues() differ despite setting seed HOT 1
- Decision Tree Build HOT 2
- Random forest prediction intervals using the out-of-bag predictions errors. HOT 2
- Is there a way to fit an isolation forest using ranger? HOT 1
- Node-wise impurity decrease HOT 2
- Extract "dependent.variable.name" from a ranger object HOT 6
- No Tree Plotting Function Provided by Package HOT 2
- Add C++14 specification (`std::make_unique` is only avaiable from C++14 onwards) HOT 2
- classProbs are not in line with the predicted label HOT 4
- Trees summary statistics: height, splits HOT 2
- Matrices without colnames. HOT 2
- A check on inbag size would be nice
- Feature Request: inclusion of the trivial random forest model HOT 2
- compilation failed for package 'ranger' HOT 2
- Clarify Gini index calculation HOT 2
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