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LightGBM
jameslamb
jameslamb commented Sep 13, 2020

Summary

Today in the R package, there are a lot of internal function calls which use only positional arguments. Change them to use keyword arguments for extra safety.

I've added this issue to provide a small, focused contribution opportunity for Hacktoberfest 2020 participants. If you are an experienced open source contributor, please leave this

sunlili
sunlili commented Jun 8, 2020

Hello,
I run following code in ch 1.11.19(debug),and it will crash by an assertion.

let b = [1.1, 2.2, 3.3];
b[4294967294] = 3;
Array.prototype.copyWithin.call(b, 0, 1);

Crash output:

ASSERTION 7690: (/.../ChakraCore-1.11.19/lib/Runtime/Library/JavascriptArray.cpp, line 9309) direction == -1 || (fromVal + count < MaxArrayLength && toVal + count < MaxArrayLength)
 Failure: (d
rainersigwald
rainersigwald commented Jul 8, 2020

We have several errors/warnings that have a URL in the text of the message. After #5488 (thanks, @jmezac!) we'll have a structured way to represent this that will eventually (dotnet/project-system#6335) be used in the Visual Studio UI.

We should use that!

Likely candidates:

$ rg "fwlink|aka\.ms" -g *resx
src\Tasks\Resources\Strings.resx
683:    <
mmlspark
brunocous
brunocous commented Sep 2, 2020

I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?

azure-sdk-for-net

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