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We can easily develop an algorithm to detect these kind of outliers (I'm thinking a ransac regressor)
![standby_vertical_a7d523e79909ad098bccc337c5da84a0](https://cloud.githubusercontent.com/assets/45…
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```
limbo/Prepare statement: 'SELECT 1'
time: [1.4930 µs 1.4949 µs 1.4973 µs]
thrpt: [667.86 Kelem/s 668.94 Kelem/s 669.81 Kelem/s]
…
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They are at least these two possibilities to remove some of the outliers:
1) crosscheck: best match for a-> should be the same for b->a
https://docs.opencv.org/4.x/dc/dc3/tutorial_py_matcher.htm…
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When running models with higher amounts of outliers (say: 10%) or higher. The algorithm fails to detect the outliers. The original version does a much better job, although not perfectly. I need to tra…
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What algorithm do you use to get power for a given ride?
Say you have power data or a 4hr ride sampled at 1Hz, do you just compute histogram of power
and then use this to update your power duratio…
ib00 updated
2 months ago
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With only two variables, the MCD method seems fine, with few outliers detected (1%). However, with only one more variable (3), the MCD method detects a whopping 14% outliers, even in well-behaved (nor…
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Hi @explodecomputer @yoonsucho
Thank you for the wonderful package. I was following the '**Guide to using MR-TRYX**' on this page but I get an error
https://explodecomputer.github.io/tryx/arti…
DM087 updated
3 months ago
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Even if no outliers were detected (which means that everything is ok), the following message is printed:
```
Standard geometry: bond outliers[?]
Bond length outliers can not be evaluated for this…
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To catch outliers I compared the area codes of variables v91 and v92 of each ethnic group to its nearest neighbor. As such, we got a list of potential outliers in terms of location:
OBJECTID | v…
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Potential ideas:
- Detect when gas price changes might have a big impact on the execution
- React to the above (preventing the user from creating the order in some cases and allowing to place anyway k…