Comments (1)
Thanks for the interest.
Our plan for the future is to improve the forecasting in the python package and add more functionalities and features. We do not have immediate plans for an R package at this moment.
Reza
from greykite.
Related Issues (20)
- Input Data Has Many Null Values HOT 1
- run_forecast_config crash with regressors but not without HOT 1
- Does multi-stage forecasting supports weekly aggregation as-well HOT 4
- Greykite Forecaster Model is Unpickle-able HOT 7
- Multivariate Support
- How to extract future trend? HOT 1
- support python 3.10 HOT 5
- No seasonal terms are included with seasonality options set to 'auto' with monthly data
- Forecasts appear too smooth for dataset original variability HOT 1
- can t set time col in metadata HOT 1
- Parallel execution on Spark, HOT 2
- ResourceWarning: Unclosed file... messages when deserializing a model. HOT 1
- The default performance of greykite silverkite is far worse than default prophet HOT 3
- Enforcing positive output, or how to tell the model not to produce negative results HOT 1
- Regressors Already Forecastd, No Lag Needed. But, getting AttributeError: 'dict' object has no attribute 'lagged_regressors' HOT 7
- Greykite feature scaling HOT 6
- Support for pandas 1.3 HOT 2
- Training the model on all data after benchmarking HOT 2
- regularization_strength Default value HOT 1
- Support custom metrics for cross validation HOT 2
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