* initial lstnet
* lstnet network
* fixed forward
* fix splitter
* fix prediction
* rename argument to what it is i.e. time_first
* fixed scaling and some default values
* scaler can now take time_first=False tensors
* Dataset is an iterable of DataEntry
* test_forecast_multivariate
* formatting
* offset can also be W-MON
* fix type
* fourier_time_features_from_frequency_str for weekly data
* randomly shuffle dataset for each worker
* filedataset is not scriptable
* read file randomly
* list and file datasets shuffle the time series in train
* do not shuffle time series in multivariate grouper
* fix tests
* formatting
* formatting