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

🚀 Feature

Create the metric MulticlassAUROC to allow for the AUROC metric to be used in multi-class problem settings. Or,
Expand the AUROC metric to support multi-class data, which would also directly solve this AUROC bug that instead gives a random value when used in multi-class problems: https://github.com/PyTorchLightning/

MLflow seems to have a length limit of 5000 when setting tags (see below).

[...]
  File "/home/smay/miniconda3/envs/py38/lib/python3.8/site-packages/mlflow/utils/validation.py", line 136, in _validate_length_limit
    raise MlflowException(
mlflow.exceptions.MlflowException: Tag value '[0.8562690322984875, 0.8544098885636596, 0.8544098885636596, 0.8544098885636596, 0.85440988856365

Documentation Is:

• Missing
• Needed
• Confusing
• Not Sure?

E

Bug Report

Please provide information about your setup

Output of dvc version:

$ dvc version
DVC version: 1.6.6 (pip)
---------------------------------
Platform: Python 3.8.3 on Linux-5.4.49-1-lts-x86_64-with-glibc2.2.5
Supports: http, https, s3
Cache types: symlink
Repo: dvc, git

Additional Information (if any):

I am using zsh, when trying tab

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

PrestoDB https://prestodb.io .. is widely used as SQL frontend for many different data-sources, including ElasticSearch, and even files in S3 .. would be very nice if there would be a Connector available for Vespa.

Yes

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?