Bayeslite
tablespoon
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Bayeslite | tablespoon | |
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1 | 9 | |
915 | 39 | |
0.0% | - | |
0.0 | 5.3 | |
4 months ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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Bayeslite
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Tracking mentions began in Dec 2020.
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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[P] Time-series Benchmark methods that are Simple and Probabilistic
😻 Github 😻
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.
What are some alternatives?
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Pelican - Static site generator that supports Markdown and reST syntax. Powered by Python.
uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
numpyro - Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
lambdo - Feature engineering and machine learning: together at last!
Numbers-Prophecy - An experiment to demonstrate the biases and predictability of our world.
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
darts - A python library for user-friendly forecasting and anomaly detection on time series.