Description Usage Arguments Value Examples
Main function for deepboost model creation
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formula |
A R Formula object see : ?formula |
data |
A data.frame of samples to train on |
instance_weights |
The weight of each example |
tree_depth |
maximum depth for a single decision tree in the model |
num_iter |
number of iterations = number of trees in ensemble |
beta |
regularisation for scores (L1) |
lambda |
regularisation for tree depth |
loss_type |
- "l" logistic, "e" exponential |
verbose |
- print extra data while training TRUE / FALSE |
A trained Deepbost model
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