Description Usage Arguments Value Examples
This is a function to generate a C5.0 rule model for the 1000 time series
from the tstaxonomyr R package. The best fitted model is identified based
number of boosting trials boosting_length
.
The method 'C5.0' from the 'C50' R package is fitted and afterwards returned.
As input is only required the boosting_length
with a number between 1
and 100. Also, for ts_taxonomy
only 'v1' for the basic taxonomy or
'v2' for the ligther feature selected taxonomy of the tstaxonomyr R package
are allowed. Otherwise the function returns an error message.
1 | train_c50_rule_model(boosting_length = 10, ts_taxonomy = "v1")
|
boosting_length |
Number of model boosting intervals. |
ts_taxonomy |
Either 'v1' or 'v2'. v1 uses the default time series taxonomy and v2 the feature selected ts taxonomy of the tstaxonomyr package. |
The trained rule model from the C5.0 algorithm.
1 | fitted_model <- train_c50_rule_model()
|
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