Comments (3)
Hi @juanpabloaj, nice catch! We recently updated the name of the backtest
function to historical_forecasts
, which is not yet reflected in the medium article. In the meantime you can just replace model.backtest
with model.historical_forecasts
and that should do the trick!
If you still run into problems please let us know.
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thanks, maybe in some part of the article you could add the version of darts used in this demo to avoid future confusion.
thanks again for your fast answer, the project, and your work in general 😄
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The Medium article has been updated, thanks for raising the issue @juanpabloaj
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Related Issues (20)
- Mixed precision support for Torch Models
- `TFTModel.predict()` with `predict_likelihood_parameters=True` HOT 2
- Update examples
- Shap explanation HOT 2
- TFTExplainer: getting explanations when trained on multiple time series HOT 1
- Missing attribute when loading models trained in older darts version
- [BUG] TimeSeries.from_group_dataframe incompatible with integer timestamps
- [BUG] No activations in BlockRNNModel output MLP
- How to implement TIDE Model with similar lags to LGBM HOT 3
- [BUG] LinearRegression get_estimator method's required arguments appear to do nothing HOT 3
- [BUG] sklearn KNeighborsRegressor can't be fitted with darts RegressionModel HOT 2
- TiDE Model Stops At A Specific Epoch HOT 1
- Backtest with custom forecast dates HOT 2
- [Question] window_agg parameter not clear in anomaly scorers HOT 1
- [BUG] Training on multiple gpus HOT 1
- [BUG] How to prevent darts from caring about the date frequency HOT 2
- Question of validation data length and how samples are extracted from the validation dataset HOT 2
- [QUESTION] Behavior of TFT's .predict() method HOT 2
- [BUG]When the time_col parameter in TimeSeries.from_group_dataframe contains integers, it is still converted to a DatetimeIndex HOT 1
- [QUESTION] Simple question regarding backtest() in Darts. HOT 2
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