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Oct 19, 2020
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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
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Oct 20, 2020 - TypeScript
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Oct 20, 2020 - TypeScript
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Oct 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
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Oct 19, 2020 - Jupyter Notebook
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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)
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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: <-
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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
Pre-Requisite:
Add Accessibility Insights extension for web to Edge Anaheim (url:https://accessibilityinsights.io/)
Repro Steps:
1. Ope
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 migration guide was written to be a launching point to guide developers familiar with the legacy client library to the equivalent API and patterns of the modern library. While the content has well received, the format has proven to harm readability and cause difficulty in finding the appropriate content. When developing the Service Bus migration guide, an alternate f
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Oct 20, 2020 - C
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