Proposed refactoring or deprecation

Rename ProgressBar callback to TQDMProgressBar (https://github.com/tqdm/tqdm)
https://github.com/daniellepintz/pytorch-lightning/blob/a49690dfa3502508c8765e6bb46ded17e561af8e/pytorch_lightning/callbacks/progress/progress.py#L55-L55

Motivation

After we added the RichProgressBar in PyTorchLightning/pytorch-lightning#8929, i

URLS with the issue:

• https://mlflow.org/docs/latest/python_api/mlflow.html#mlflow.log_param
• https://mlflow.org/docs/latest/python_api/mlflow.html#mlflow.log_metric
• https://mlflow.org/docs/latest/python_api/mlflow.html#mlflow.set_tag

Description of proposal:

Document the maximum value and legal characters for log_param, log_metric and set_tag. Note that log_metric's value i

Currently, when entering epic mode the README is frozen in the last level of the tower. When you're trying to fine-tune the score for a level other than the last one, it would be helpful if we had the README for that level available. The proposal is that when entering epic mode, the README is updated with all levels, one following the other.

Example:

# Starbolt - beginner

Bug Report

Description

I am trying to push files with approximately 1GB per file to an internal s3 storage. For other (smaller) files this works perfectly fine, however with the 1GB files I am experiencing a timeout, while the logs from the storage do not show any error and keep uploading even after the timeout.

Reproduce

adding 5 1GB files to the repository and then using dv

Specs

• Leon version: latest
• OS (or browser) version: Fedora 30
• Node.js version: 10.16.3
• Complete "npm run check" output:

➡ Here is the diagnosis about your current setup
✔ Run
✔ Run modules
✔ Reply you by texting
❗ Amazon Polly text-to-speech
❗ Google Cloud text-to-speech
❗ Watson text-to-speech
❗ Offline text-to-speech
❗ Google Cloud speech-to-text
❗ Watson spee

Good first issue

• Suitable for people who have little knowledge of Milvus or PyMilvus, and Python enthusiastic.
• Usually takes no more than 30 mins to fix.

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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

Yes