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Bump version for release (#2507)
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Package: prophet
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Title: Automatic Forecasting Procedure
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Version: 1.1.4
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Date: 2023-05-30
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Version: 1.1.5
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Date: 2023-10-10
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Authors@R: c(
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person("Sean", "Taylor", email = "sjtz@pm.me", role = c("cre", "aut")),
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person("Ben", "Letham", email = "bletham@fb.com", role = "aut")
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README.md
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README.md
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# Prophet: Automatic Forecasting Procedure
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@ -126,6 +127,30 @@ Using `cmdstanpy` with Windows requires a Unix-compatible C compiler such as min
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## Changelog
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### Version 1.1.5 (2023.10.10)
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#### Python
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- Upgraded cmdstan version to 2.33.1, enabling Apple M2 support.
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- Added pre-built wheels for macOS arm64 architecture (M1, M2 chips)
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- Added argument `scaling` to the `Prophet()` instantiation. Allows `minmax` scaling on `y` instead of
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`absmax` scaling (dividing by the maximum value). `scaling='absmax'` by default, preserving the
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behaviour of previous versions.
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- Added argument `holidays_mode` to the `Prophet()` instantiation. Allows holidays regressors to have
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a different mode than seasonality regressors. `holidays_mode` takes the same value as `seasonality_mode`
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if not specified, preserving the behaviour of previous versions.
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- Added two methods to the `Prophet` object: `preprocess()` and `calculate_initial_params()`. These
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do not need to be called and will not change the model fitting process. Their purpose is to provide
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clarity on the pre-processing steps taken (`y` scaling, creating fourier series, regressor scaling,
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setting changepoints, etc.) before the data is passed to the stan model.
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- Added argument `extra_output_columns` to `cross_validation()`. The user can specify additional columns
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from `predict()` to include in the final output alongside `ds` and `yhat`, for example `extra_output_columns=['trend']`.
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- prophet's custom `hdays` module was deprecated last version and is now removed.
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#### R
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- Updated `holidays` data based on holidays version 0.34.
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### Version 1.1.4 (2023.05.30)
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#### Python
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__version__ = "1.1.4"
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__version__ = "1.1.5"
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@ -132,11 +132,11 @@ def model_to_json(model):
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def _handle_simple_attributes_backwards_compat(model_dict):
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"""Handle backwards compatibility for SIMPLE_ATTRIBUTES."""
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# prophet<=1.1.4: handle scaling parameters introduced in #2470
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# prophet<1.1.5: handle scaling parameters introduced in #2470
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if 'scaling' not in model_dict:
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model_dict['scaling'] = 'absmax'
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model_dict['y_min'] = 0.
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# : handle holidays_mode parameter introduced in #2477
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# prophet<1.1.5: handle holidays_mode parameter introduced in #2477
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if 'holidays_mode' not in model_dict:
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model_dict['holidays_mode'] = model_dict['seasonality_mode']
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