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mlops

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gardnerdev
gardnerdev commented Jan 16, 2021

Describe the bug
When trying to run scaffolding (profiling) command, it fails because of commas in columns.

To Reproduce
Steps to reproduce the behavior:

  1. Run great_expectations suite scaffold scaffold-name on datasource where commas are in column
  2. Bug pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 5323 saw 2

Expected behavior
D

kedro
edogrigqv2
edogrigqv2 commented Dec 13, 2020

🚨🚨 Feature Request

We need description, citation, license, and version meta info to be added to the dataset.

Is your feature request related to a problem?

Some datasets need this info inside them for legal reasons.

If your feature will improve HUB

Easy to implement, won't hurt for sure.

Description of the possible solution

Currently, we have all metadata store

RafalSkolasinski
RafalSkolasinski commented Feb 24, 2021

For SC Operator it may be a good idea to generate CRD manifests from inside a docker container.
This should provide reproducible generation step and avoid "produces different output on my machine" issues.

Linter should also fail if generation of manifests produce diff with the commited version.

flyte
evalsocket
evalsocket commented Jun 8, 2021

Describe the Issue
In pytest-flyte, @samhita-alla has a pr that will enable us to test flyte workflow but we don't have many examples of pytest-flyte. Ideally, we should write a test for each example workflow and that should be the best practice of flyte workflow development and release

The goal of this issue is to write a test for each workflow example of flytesnacks, This task is huge i

onepanel

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

  • Updated May 25, 2021
  • Go

Collective Knowledge framework (CK) helps to organize software projects as a database of reusable components and micro-services with common APIs, automation actions and extensible meta descriptions based on FAIR principles. See real-world use cases from MLPerf, General Motors, Arm, Qualcomm, the Raspberry Pi foundation and ACM:

  • Updated Jun 11, 2021
  • Python

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