Scalecast

Added
- Added CILevel info to export model_summaries function
Changed
Fixed
- Fixed an issue where plots were diplaying incorrect confidence levels if `cilevel` had been changed since training it

Added
- Added the rnn estimator
Changed
- plot_loss argument no longer considered a hyperparameter value for LSTM and RNN models
Fixed
- Fixed an issue where "==" wasn't being accepted in the `evaluated_as` argument in the `pop_using_criterion()` function
- Scaler in history saved as 'minmax' instead of None for LSTM and RNN models

Added
- EvaluatedModels to `__repr__()`
Changed
- Does not call `infer_freq()` as often, making code more efficient
Fixed
- sometimes the attribute `ci_bootstrap_samples` was being called `bootstrap_samples`, changed everything to `bootstrap_samples` only

Added
Changed
Fixed
- Fixed an error that occured when calling the `__repr__()` method if no models had been evaluated first

Added
- Added `export_fitted_vals()` function
- Added ci option to the `results_vis()` function in notebook
- Added the `get_funcs()` function
Changed
- No `Xvars` in LSTM model, changed to lags (now model will only look at its own history)
- No `normalizer` in LSTM model (always uses a minmax scaler now)
- LSTM model can no longer be tuned
- Got rid of all lstm model grids
- changed `__str__()` and `__repr__()` so that they now offer better info
Fixed
- Fixed the LSTM model by scaling the dependent variable and unscaling it (minmax) when it comes out and getting rid of other Xvars

Added
- Added confidence intervals using bootstrapping
- `set_cilvel()` function (default .95)
- `set_bootstrap_samples()` function (default 100)
- Added `ci` parameter to `plot()` and `plot_test_set()` function
- Added UpperCI, LowerCI, TestSetUpperCI, TestSetLowerCI keys to history dict
- Added `export_forecasts_with_cis()` and `export_test_set_preds_with_cis()` functions
- Added source code (commented out) to get level confidence intervals -- when I tested, the intervals were too large to implement but maybe in the future this will be revisited
Changed
Fixed