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System information

• Have I written custom code (as opposed to using a stock
  example script provided in TensorFlow): Yes

Describe your feature request

Currently, if you run

ray.wait([pg.ready()]), it prints the warning message that the ready task is infeasible. This is an expected behavior, so we should not print warning messages.

Impl Idea

• Have a magic number for pg.ready resources (for example, it always re

Managing groups which are supposed to be approved to use the Deck, are nearly impossible to manage. Select/Unselect or identify groups is difficult or impossible. Not all a

This project's documentation includes a list of winning solutions for machine learning competitions which used LightGBM.

https://github.com/microsoft/LightGBM/tree/master/examples#machine-learning-challenge-winning-solutions

With one exception (), this has not been updated since December 2019.

How to close this issue

Look through "completed" competitions (from December 2019 to now)

What would you like to be added: As title

Why is this needed: All pruning schedule except AGPPruner only support level, L1, L2. While there are FPGM, APoZ, MeanActivation and Taylor, it would be much better if we can choose any pruner with any pruning schedule.

**Without this feature, how does current nni

• Support multi vid_ref_expression in from clause.
• Support uuid in where clause.

issue from vesoft-inc/nebula-java#81

Today IMap.values() and IMap.values(Predicate) calls are blocking.

I would like to use IMap.values(Predicate) in a Jet Pipeline, which is possible, but I need to declare it as nonCooperative, and will have an impact on the pipeline scalability.

Would it be possible to have an async (non-blocking) version for these calls ?

Thank you very much for all the hard work done !

In osx/updater/updater.go, we're referencing an ancient Go package, which has moved to a new location. Right now, the updater doesn't build (should we test this on travis?).

Motivation

From following resources, the search space of examples/xgboost_simple.py seems not to be practical.

• https://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/
• https://www.youtube.com/watch?v=VC8Jc9_lNoY
• https://www.amazon.co.jp/dp/B07YTDBC3Z/

Description

Improve the search space of examples/xgboost_simple.py.

I've noticed that some files have conflicting license statements. For instance the header of file scripts/ZoneMinder/lib/ZoneMinder/Trigger/Channel.pm claims GPL-2+ but in the end of the same file I found the following statement:

This library is free

We should remove guava as dependency from the server module.

Most of the functionality we used from it are provided by the JDK by now.
The stuff that is missing from the JDK has mostly been added in the utilities we inherited from ES, due to their decision to remove guava completely.
Any functionality that we use which isn't present in the JDK can be copied over and integrated into our code