get_data.ds_basic {NeuroDecodeR} | R Documentation |
A datasource (DS) method to generate training and test sets
Description
This is a function that must be implemented by all DS objects. This method should not be called directly but instead it is used internally by the cross-validator (CV) object.
Usage
## S3 method for class 'ds_basic'
get_data(ds_obj)
Arguments
ds_obj |
The datasource object. |
Value
This method returns a data frame where each row corresponds to a data from one time point on a single trial.
-
train_labels: The labels that should be used when training the classifier.
-
test_labels: The labels that should be used when the classifier is tested. Note, this can be different than the training labels when remapping the data using the
ds_generalization()
data source. -
time_bin: The time bin where the data point came from.
-
site_XXXX: A set of columns with neural activity from each site.
-
CV_XX: A set of columns that indicate for each cross-validation split whether a data point belongs to the training or test set.
See Also
ds_basic()
, ds_generalization()