pete_b_condon

4 ms·

1.
by pete_b_condon 4y ago
You understand that the retail price of power is made up of many components, right? Physical security, saftey, redundancy, and system strength are significant drivers of the network costs (typically about 40% of the bill to consumers). Plea
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Think power is expensive now? Just wait until we need security guards(energycentral.com)
3 points by pete_b_condon 4y ago|3 comments
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Experiments in Model Simplification(wagtaillabs.com)
3 points by pete_b_condon 6y ago|0 comments
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Show HN: A new library for better Tree Ensemble explanations(github.com)
2 points by pete_b_condon 6y ago|0 comments
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What's Wrong with Explainable AI(youtube.com)
3 points by pete_b_condon 6y ago|1 comments
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by pete_b_condon 6y ago
This is important background material into why I started publishing my ideas into Explainable AI. Very open to feedback, as always.
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by pete_b_condon 6y ago
"I’m writing this in December of 2020" :)
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Wagtail Labs, Grant Part 2: Neighbour Sensitivity and Training Delta(wagtaillabs.com)
1 points by pete_b_condon 6y ago|0 comments
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by pete_b_condon 6y ago
That works to a point, but it doesn't necessarily find all the rules of the model. In the post I walked through a model with three training records (yellow, blue, red) which created six prediction boundaries. Half of the rules weren&#x
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by pete_b_condon 6y ago
Yep, all the code is in there. I do have another piece of code that has all the algorithms in a single class (which makes it much easier to use), I'll double check that it's up to date and post that tonight.
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by pete_b_condon 6y ago
No worries, I thought I was ok because the post links to the GitHub repo but I'll make the link more explicit in future. Yep, I've added an email address now :)
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by pete_b_condon 6y ago
Thanks :) I've been trying to work out where to put updates, so far I've been using GitHub & Twitter (both @wagtaillabs). I'll keep posting to HN as well (I just had two orders of magnitude more traffic than any other day
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by pete_b_condon 6y ago
That's a very good question. You're right that the way we typically train Tree Ensembles creates a massive number of rules, the walk through Random Forest has more than 100,000 leaves per Decision Tree. Once we start grafting it t
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by pete_b_condon 6y ago
Thanks :) Yep, code's on GitHub. I'm more than happy to collaborate, there's heaps of things that need to be done.
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New Explainable AI Algorithms(wagtaillabs.com)
111 points by pete_b_condon 6y ago|18 comments
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by pete_b_condon 6y ago
I've been writing new Explainable AI algorithms in my spare time. Always interested to hear what people think.
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Estimating Aggregate Variance: Introducing Random Sort(medium.com)
1 points by pete_b_condon 9y ago|0 comments
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by pete_b_condon 9y ago
In the spirit of Cunningham's Law, I've finally received permission put together a few posts about some of the more interesting topics we're covering at work. Very keen for any feedback.
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Residual Machine Learning: Continuous as Categorical(medium.com)
2 points by pete_b_condon 9y ago|1 comments