Comments (1)
Hi,
We allow users to use Prophet through our interface, hence the dependencies. However, we have removed the dependency in the latest version greykite==0.2.0
.
The algorithms for Prophet and greykite are quite different. E.g. Prophet is a Bayesian method while the main algorithm of greykite (called Silverkite) is a frequentist method. You can find a high-level comparison between the two here.
You can find more details about the algorithm in our blog post and research paper where we compare the performance of the models on external datasets.
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Related Issues (20)
- Library import issues HOT 1
- ValueError: ``MULTISTAGE_EMPTY`` can not be used without overriding. HOT 2
- Request to release tag 0.5.1 HOT 4
- Unable to get greykite 0.5.0 HOT 4
- Unable to run codes.
- Regressors Already Forecastd, No Lag Needed. But, getting warning "RuntimeWarning: Input data has many null values. Missing 21.45% of one input." HOT 1
- Lower Python version requirement to allow 3.8.10 HOT 1
- `design_info` is needed to make predictions on new data HOT 4
- Dealing with lot of 0s (zeroes) in Greykite Multistage Forecasting HOT 1
- mutable default <class 'greykite.framework.templates.autogen.forecast_config.ModelComponentsParam'> for field SILVERKITE is not allowed: use default_factory HOT 1
- MLFLOW support for the SilverKite Algorithm HOT 1
- Greykite design question
- Version 0.5.0 - broken macOS support with M1 chip due to incorrect version of pmdarima dependency
- Question: How to use sample_weight in grid searching a model HOT 2
- TypeError in docs examples HOT 1
- Code not working After Update
- TypeError on forecaster.run_forecast_config (same as the others) HOT 2
- ChangePoint detection for not daily data
- Using conda for installation
- New matplotlib release v3.9.0 breaks Forecaster class
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