* First go at IndependentDistributionOutput, subclassed by NormalOutput and NegativeBinomialOutput for now
* Multivariate test for new implementation of NormalOutput
* adding scaling parameter to NormalOutput
* IndependentNormalOutput now is an alias of NormalOutput with a DeprecatedWarning. Some more univariate distributions now inherit from IndependentDistributionOutput
* IndependentNormalOutput now is an alias of NormalOutput with a DeprecatedWarning. Some more univariate distributions now inherit from IndependentDistributionOutput
* Add a new CustomDateFeatureSet class to calculate holiday features based on an array of pandas timestamps
Add a new CustomDateFeatureSet class to calculate holiday features based on an array of pandas timestamps
* Added test case for the CustomDateFeatureSet
Added test case for the CustomDateFeatureSet
* Added new class in the init file
Added new class in the init file
* 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
Kashif Rasul