classify_n_times | R Documentation |
Rerun a model generator and classifier on a training/testing set multiple times.
classify_n_times(
full_df,
interesting_meta,
outcome_column = "finaloutcome",
p = 0.4,
list = FALSE,
formula_string = NULL,
run_times = 10,
method = "xgbTree",
sampler = "cv",
sample_number = 10,
tuner = NULL,
state = NULL,
...
)
full_df |
The matrix of preProcessed() data. |
interesting_meta |
dataframe of metadata of potential interest. |
outcome_column |
metadata column of interest. |
p |
The proportion of training/testing |
list |
How to return the partitions. |
formula_string |
Optional formula string, otherwise genrated on thee fly. |
run_times |
How many times to repeat this process |
method |
Modelling method to employ with caret. |
sampler |
Sampler to employ, bootstrap or cv right now. |
sample_number |
How many times to use the sampler |
tuner |
Tuning arguments for the method above. |
state |
When provided, passes the state of the data to the return so it may be reported later. |
... |
Others, currently unused I think |
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