Comments (1)
This was fixed in the distribution update committed today. Please feel free to download 0.18.4. Thanks for opening the issue!
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Related Issues (20)
- Error during plotting HOT 2
- Error with Forecaster Attribute 'validation_metric_value' HOT 2
- Return a dataframe for the forecasted future values HOT 3
- Prophet can't be found in grid.py HOT 8
- ForecastError: Need at least 1 Xvar to forecast with the svr model. HOT 3
- How to save model if I also used scalecast to find optimal transformation? HOT 6
- Got Tuple index out of range issue when calling manual_forecast() for rnn HOT 5
- Forecasting using Dates but also Categorical (Exgegenuous) Features HOT 1
- low-level output error generated RuntimeError: Detected a call to `Model.fit` inside a `tf.function`. `Model.fit is a high-level endpoint that manages its own `tf.function`. Please move the call to `Model.fit` outside of all enclosing `tf.function`s. Note that you can call a `Model` directly on `Tensor`s inside a `tf.function` like: `model(x)`. HOT 3
- Silencing Warning and printing HOT 7
- additional regressor for prophet does not work HOT 5
- Implement callbacks on the prophet model.
- Generating new dates / Frequency not understood HOT 9
- Data size impacting tune_test_forecast() and find_optimal_transformation() HOT 3
- `impute_lookback=None` does not work for default `fill_strategy='moving_seasonal_average'` HOT 1
- Forecasts with only Positive values HOT 1
- HWES estimator produces forecasts of much larger magnitude with statsforecast 1.5.0 HOT 2
- Xvars are not found in the current_xreg dict keys HOT 2
- scalecast starter example won't import on mac HOT 3
- How to use best model and transformer from forecaster pipeline on new data without actual y HOT 6
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