Version: 1.50.1 (system setup)
Commit: d2e414d9e4239a252d1ab117bd7067f125afd80a
Date: 2020-10-13T15:06:15.712Z
Electron: 9.2.1
Chrome: 83.0.4103.122
Node.js: 12.14.1
V8: 8.3.110.13-electron.0
OS: Windows_NT x64 10.0.18363

Steps to Reproduce:

1. Create a sample Electron project.

   In the

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

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

Show connection name if there is one in schema compare dialog instead of always showing server(login)

Issues Resolved

fixes #8763

Platforms Affected

• iOS

Behavioral/Visual Changes

None

Before/After Screenshots

Not applicable

Testing Procedure

PR Checklist

• [] Targets the correct branch
• [] Tests are passing (or failures are unrelated)

See dotnet/msbuild#5810 for a bit of context.

There's an inconsistency with XmlPoke and XslTransformation. The docs on XmlReaderSettings.DtdProcessing state that the default value is Prohibit, which neither XmlPoke or XslTransformation` follow.

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

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?

Summary

The Event Hubs client library is instrumented using the .NET EventSource mechanism for logging. When instrumenting or diagnosing issues with applications that consume the library, it is often helpful to have access to the Event Hubs logs.

Though EventSource instrumentation is