tablespoon
Kats
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| tablespoon | Kats | |
|---|---|---|
| 9 | 79 | |
| 39 | 4,750 | |
| - | 1.1% | |
| 5.3 | 8.0 | |
| 6 months ago | 8 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tablespoon
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Statistical vs. Deep Learning forecasting methods
I use my package https://github.com/alexhallam/tablespoon to generate naive forecasts then evaluate the crps of the naive vs the crps of the alternative method. This “skill score” approach is very good.
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I made a library that makes naive forecasting easy
Source code is here tablespoon
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[P] Time-series Benchmark methods that are Simple and Probabilistic
tablespoon makes generating these naive methods easy while taking advantage of Stan's efficient No U-Turn Sampler - much the same way Facebook Prophet it built on top of Stan.
- [P] tablespoon: Time-series Benchmark methods that are Simple and Probabilistic
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- GitHub - alexhallam/tablespoon: 🥄✨Time-series Benchmark methods that are Simple and Probabilistic
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✨Announcing development of a benchmark forecasting library to be used as alongside AI forecasting methods. ✨
I just started the development of tablespoon. The purpose of this package is to make time-series benchmark forecasts that are simple and probabilistic.
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Time-series Benchmark methods that are Simple and Probabilistic
tablespoon
Kats
What are some alternatives?
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
lambdo - Feature engineering and machine learning: together at last!
neural_prophet - NeuralProphet: A simple forecasting package
Numbers-Prophecy - An experiment to demonstrate the biases and predictability of our world.
sktime - A unified framework for machine learning with time series
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
datascience - Curated list of Python resources for data science.
catch22 - catch22: CAnonical Time-series CHaracteristics