This business is awesome

It would be more awesome if

Summary

mypy shows some issues in LightGBM's Python package.

mypy \
    --exclude='python-package/compile/|python-package/build' \
    --ignore-missing-imports \
    python-package/

python-package/lightgbm/compat.py:12: error: Name 'Series' already defined (possibly by an import)
python-package

• Source

JsPointerToString(NULL, 0, &str);

• Expected
  str = empty string

• Actual
  failed and returns JsErrorNullArgument

I think this should be possible

Description of Change

Update Font Header size in iOS.
The original values are from: https://material.io/develop/android/theming/typography/

But, the Header value, 96, seem really really high especially when compared to iOS and UWP.

This PR update the value comparing values with iOS.

Issues Resolved

• fixes #11194

API Changes

None

Platforms Af

Issue Description

msbuild's code is open source under the MIT license. This allows anyone to examine, modify and distribute the sources (among other things). However, the source code repository includes a documentation file that has a "Microsoft Confidential" notice:

https://github.com/dotnet/msbuild/blob/master/src/Shared/Shared%20Code.doc

I suspect this is a mistake since there i

Work Item

There are some examples in our repo that use op, rather than sequenceDelta event. These do not work, as processing op correctly is very difficult, and error prone. sequenceDelta is always correct. These legacy examples should be updated or removed.

Summary

The Event Hubs client library aims to be mockable and fully support testability. To help illustrate usage of the new API for the testing scenarios, a set of samples mocking the various Event Hubs client types and illustrating use of the model factory is needed.

Scope of Work

• Implement a sample or set of samples demonstrating a basic approach for mocking the high level cli

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?