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Spam filters such as [SpamAssassin](http://spamassassin.apache.org/) employ Bayesian filtering to separate desired (i.e. “ham”) from undesired e-mail (i.e. “spam”). In the kind of setup I am familiar …
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### Pitch
A Bayesian classification system in which users can label individual posts with various labels, and the classifier will then (after learning) suggest appropriate labels for new posts whic…
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Hi, do you have plans to add support for Bayesian filters to spam-detector? The structure of the library and usage looks great, but it'd be far more powerful with more supported spam detectors.
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Is there any plan to "extract" the Bayesian filter to use it with other types of data, to filter our spam content for example?
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**Original article:** The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
**PDF URL:** https://github.com/Josuelmet/Discriminative-Kalman-Filt…
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### Problem
The user profile descriptions are commonly used by spammers to post spam.
Spammers often post extremely long descriptions within a few minutes of the user account being created.
P…
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https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/blob/9e3d2f6ed023d937587cf2ef2ecfbf7afc3d8054/03-Gaussians.ipynb#L1581
"We will focus on the norm variable" should be corrected to "w…
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Here it is said that the narrowly distributed temperature readings represent a more accurate thermometer, when I think it is intended to mean a more precise one. The book previously established that w…
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The provided solution has:
```dx = dx + h * (residual) / dt```
In my own solution, I wrote:
```dx = (1 - h) * dx + h * (residual) / dt```
Is the `(1 - h)` applied to the prediction unneces…
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First of all, thank you very much for this learning material, I really wish there were similar tutorials for other engineering areas!
I think the central limit theorem is slightly off in chapter 3:…