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LightGBM
jameslamb
jameslamb commented Oct 25, 2020

How you are using LightGBM?

LightGBM component: R package

Environment info

Operating System: macOS 10.14

C++ compiler version: gcc 8.1.0

CMake version: 3.17.3

R version: 4.0.2

LightGBM version or commit hash: https://github.com/microsoft/LightGBM/tree/c07644d1d71540204a9b56f26667e8180bd009e2

Reproducible example(s)

Thanks to @Laurae2 for sharing this with m

NWU-NISL
NWU-NISL commented Oct 8, 2020

When I passed NaN and an object with the "valueOf" attribute value as a callable function to the first and second parameters of Math.max, chakra did not execute this function. According to the ES10 standard, the ToNumber operation is performed on each parameter of Math.max, and the "valueOf" attribute value function of the second parameter will be executed.

version

chakra-1_11_22

**co

msbuild
tylerbutler
tylerbutler commented Oct 2, 2020

Build details:

OS Version: 2004(20221.1000)

Edge Dev Version: 87.0.654.0 (Official build) dev (64-bit)

URL: https://fluidframework.com/playground/?path=/docs/welcome--page

Repro Steps:

1. Navigate to 'Shortcuts' button in left nav and invoke it.

2.Now try to navigate inside the list using down arrow key and observe.

Actual Result:

User i

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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