Scores new casualties with an sdt_fit() model. The return is always a
tibble, whatever the engine, so downstream code does not have to branch on
which model produced it.
Usage
# S3 method for class 'sdt_model'
predict(object, new_data, ...)Arguments
- object
An
sdt_modelfromsdt_fit().- new_data
A data frame of casualties to score.
- ...
Passed to the underlying
stats::predict()method;type = "prob"returns class probabilities rather than a hard call.
Value
A tibble::tibble() with one row per row of new_data.
See also
sdt_predictions() for the held-out predictions the model's own
metrics were computed from.
Examples
# See ?sdt_fit for a runnable example.
sdt_engines()
#> # A tibble: 9 × 4
#> engine package class_box installed
#> <chr> <chr> <chr> <lgl>
#> 1 tree rpart glass TRUE
#> 2 multinom nnet glass TRUE
#> 3 glmnet glmnet glass TRUE
#> 4 mars earth grey TRUE
#> 5 xgboost xgboost grey TRUE
#> 6 ranger ranger black TRUE
#> 7 svm_rbf kernlab black TRUE
#> 8 mlp nnet black TRUE
#> 9 transformer keras3 closed TRUE