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in the docs we have an example that looks like this:
```yaml
tasks:
- source: random-forest.py
name: random-forest-
product: 'n_estimators=[[n_estimators]]/criterion=[[criterion]].htm…
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I'm again just running into convergence failures that are only on TravisCI.
This time with Poisson.fit_constrained.
I never manage to solve the convergence failure for one testcase for NegativeBinomi…
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In Flow, we have the handy utility functions, getModels, getGrids, getFrames. We should expose this functionality in R/Py. One way to do this is to add an argument to the `h2o.ls()` function that al…
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Mainly parking a issue and references. I was just skimming parts.
In treatment effect we use GMM for cov_params which is a robust cov_type.
If we want nonrobust cov_type, then we need to skip some…
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SciPy have it, I'm not a big fan of the implementation (the name is crazy long), but it's probably going to be the one to last in time.
For the record, from Slack discussions:
> - Turns out NumP…
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I've been playing with the raindrops exercise from Exercism in both rust and Julia. In Julia the minimum time seems to be quite stable, by which I mean that rerunning the benchmark doesn't change the …
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(I'm coming to this now in the context of outlier robust estimation.)
roughly
- phase 1: try to build a "clean" or in-process reference model.
Includes outlier identification, robust estim…
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I'm looking to test out whether the ACE or AVAS methods work for a specific problem of mine. One thing I was hoping to do was apply the learned transformation to new data, but it seems like only the …
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I'm trying to perform a regression analysis on an annual revenue using 130 variables (127 numeric variables and 3 categorical variables that have been label encoded). These are the parameters that I f…
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The current `LinearFeeFunction` is reasonable for short deadlines (e.g., < 10 blocks) where it is critical to confirm things quickly, but it may be [overly aggressive](https://github.com/lightningnetw…