• 原文链接：A Simple Guide to A/B Testing for Data Science
• Markdown文件：文件地址
• PR 地址：
• 文章分类：AI
• 注意：文件位置在 TODO1 文件夹中，不是之前的 TODO 了。

• 翻译时间：5 天
• 校对时间：3 天
• 翻译积分：5 分
• 校对积分：2 ~ 3 分

I was going though the existing enhancement issues again and though it'd be nice to collect ideas for spaCy plugins and related projects. There are always people in the community who are looking for new things to build, so here's some inspiration ✨ For existing plugins and projects, check out the spaCy universe.

If you have questions about the projects I suggested,

At all the pages have an "Edit on GitHub" link, but clicking that link leads to 404 from github.

For example, this page:
https://microsoft.github.io/AirSim/docs/px4_sitl/

Gives this broken link:
https://github.com/microsoft/airsim/edit/master/docs/docs/px4_sitl.md

Please use pytorch as shown in docs, otherwise users can get AssertionError: Torch not compiled with CUDA enabled.

E.g. in [app-seperation-semseg/Background-Grayscale.py](https://github.com/spmallick/learnopencv/blob/f99bdd938732a5e425dc5f799d56c6deb08913a3/app-seperation-semseg/Background-Graysc

"scipy.misc.imsave" was removed in scipy version 1.3
--> pip install scipy==1.2.1

https://docs.scipy.org/doc/scipy/reference/release.1.3.0.html#scipy-interpolate-changes

and functions from scipy.misc (bytescale, fromimage, imfilter, imread, imresize, imrotate, imsave, imshow, toimage) have been removed.

Level READMEs in markdown format could be great if you're using some kind of markdown processor to read them. If you're not planning on doing so, having the markdown syntax laying around creates noise. Running warriorjs --no-markdown should take care of that, and output to README.txt instead of README.md.

Prerequisites

Please fill in by replacing [ ] with [x].

• Are you running the latest bert-as-service?
• Did you follow the installation and the usage instructions in README.md?
• Did you check the [FAQ list in README.md](https://github.com/hanxiao/bert-as-se

Documentation Is:

• Missing
• Needed
• Confusing
• Not Sure?

E

Describe the proposal

We should add an example that uses the model registry component to the set of open-source examples under the examples directory, and link to it from the Tutorials & Examples doc page (see docs source code)

We could achi

Refactoring based on the comment

Differentiate config (instance of Config class) and settings (content of the config section)

CARLA 0.9.4 running on Windows 10. There seems to be an issue with the automatic_control and manual_control scripts when running on python 3.7 with pygame 1.9.5. The error occurs in the initialisation of the HUD instance. An indexing error in the list of fonts relating to the following lines:
fonts = [x for x in pygame.font.get_fonts() if 'mono' in x]
mono = default_font if default_font in fonts

Link for the dataset in documentation to train FAQ bot in Russian is broken:
Origin in docs: https://github.com/deepmipt/DeepPavlov/blob/master/docs/features/skills/faq.rst
Broken Link: http://www.ftl.name/page/989

As well as following links for files:
http://files.deeppavlov.ai/faq/school/faq_tfidf_cos_model.pkl

How to submit an Issue to a Mycroft repository

Be clear about the software, hardware and version you are running

• I'm running a picroft
• With latest unstable
• With custom Wake Word

Try to provide steps that we can use to replicate the Issue

Turn on saving of wake words and audio clips (set both of these to "true"):
"record_wake_words": false,
"save_utterances": false

🐛 Bug

There is a backwards compatibility issues coming from PR #767. Notably, if a user doesn't have any of the extra logging dependencies then they'll be an import error.

To Reproduce

1. Remove all logging dependencies from your environment (E.g. comet)
2. Depend on the deprecated pytorch_lightning.logging package and run

Expected behavior

We expect to maintain backwards c

Issue description

Section 5 of the spam tutorial shows example of the use of the Keras classifier with labels generated by the label model (https://www.snorkel.org/use-cases/01-spam-tutorial#keras-classifier-with-probabilistic-labelskeras ). However, the test accuracy of the logreg is 90.0%, while test accuracy of the logreg trained on the dev set only is 89.6%. The accuracy of the Scik

2019/12/02 和Yi Wang沟通交流考虑SQLFLOW可以支持如下的特性

一、基础功能：好用的工具需要一个更加简易友好的界面，让业务开发/分析更加简单
1)设计分析类工具，提供自动联想输入、快速语法、常见语义错误，提升用户体验
应用场景：提供IDE的自动联想功能，提高开发效率；语法和基本语义提前检查，避免提交到后台，执行较长时间后报错
2)大数据量时时间较长，建议提供任务(job)管理、允许用户了解数据执行的状态、监控进度、提供动态调试、watch能力，方便用户感知和调优
应用场景：耗时任务可以快速了解整体进度，提供一些中间的过程信息、耗时等，方便用户进行调优,优化开发
3) 安全权限、用户管理、
应用场景：增加新的数据分析人员、用户权

Spark 2.3 officially support run on kubernetes. While our guide of "Run on Kubernetes" is still based on a special version of Spark 2.2, which is out of date. We need to:

1. update that document to Spark 2.3
2. release the corresponding docker images.

Please specify in the the Configuration section of the documentation that Windows users need to remove the SSH entry pertaining to 10.0.0.2 from C:\Users\CurrentUser.ssh\known_hosts every time they update pwnagotchi, since the newly generated keys won't match the one in the known_hosts file.

Hello Vespa Team,
Can you please consider support a properties-file which is available during run-time along with the model ? So some meta-data e.g. threshold/label, etc can be associated with the model.
This is for the stateless evaluation of the models like (XGBoost, TensorFlow, Onnx, etc) which is supported in vespa.

Thank you,
Pinank

Hello, thank you for the excellent package. I have gone through the documentation available on the site, however, I couldn't find class-specific docs like its public properties and methods. For example, I was looking at IncludeFile and only found an example of how to use it. I know there are mentions in th

How to use Watcher / WatcherClient over tcp/ip network?

Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?