Description Usage Arguments Details Value Author(s) References See Also Examples
Function subsets sliding windows of data into input and output datasets to be passed to machine-learning methods.
1 |
sw |
A numeric matrix with sliding windows of time series data
as returned by |
When sw
has k
columns (sliding windows of size k
),
the input dataset contains the first k-1
columns and the output dataset
contains the last column of data.
A list with input and output datasets.
Rebecca Pontes Salles
E. Ogasawara, L. C. Martinez, D. De Oliveira, G. Zimbrao, G. L. Pappa, and M. Mattoso, 2010, Adaptive Normalization: A novel data normalization approach for non-stationary time series, Proceedings of the International Joint Conference on Neural Networks.
Other transformation methods:
Diff()
,
LogT()
,
WaveletT()
,
emd()
,
mas()
,
outliers_bp()
,
pct()
,
train_test_subset()
1 2 3 |
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