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This repo is used for servicing PR's for .NET Core 2.1 and 3.1. Please visit us at https://github.com/dotnet/runtime
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Dec 15, 2020
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Dec 9, 2020
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Dec 16, 2020 - C#
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
Frontend Workshop from HTML/CSS/JS to TypeScript/React/Redux
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Dec 14, 2020 - TypeScript
Fluent UI web represents a collection of utilities, React components, and web components for building web applications.
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Dec 17, 2020 - TypeScript
Best Practices on Recommendation Systems
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Dec 17, 2020 - Python
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
Best Practices, code samples, and documentation for Computer Vision.
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Oct 19, 2020 - Jupyter Notebook
Right now, the validation error message is in the Example Usage box, which is what SSDT does

There's support for validation for input boxes, so it would be nicer for the error message to show up with the associated input box like this:
. We should consider using these events in our examples where we currently do path inspection on the "valueChanged" event.
Based on a quick search, looks like the following might benefit:
- examples\data-objects\primitives\src\main.tsx
- examples\data-objects\todo\src\TextList\TextListView.tsx
- [
Microsoft Azure PowerShell
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Dec 17, 2020 - C#
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
Checked C is an extension to C that adds checking to detect or prevent common programming errors such as buffer overruns and out-of-bounds memory accesses. This repo has a wiki for Checked C, sample code, the specification, and test code.
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Nov 27, 2020 - C
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Given this jsdoc block: