Description Usage Arguments Value Author(s)
Processes the pre processed data set by selecting features, randomizing, scaling and slicing.
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pprosdf |
pre processed dataset |
skip_timestep |
time step to be skipped in the sample (cross validation) |
p |
train/test data split |
features |
Boolean vector list containing the selected features |
offset |
offset value for 0 centered scale outputs |
tag |
tag param |
scale |
should values be scaled or not |
Sample training in matrix format
Marcos Alves
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