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data-quality

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Aylr
Aylr commented Dec 28, 2020

Describe the bug
data docs columns shrink to 1 character width with long query

To Reproduce
Steps to reproduce the behavior:

  1. make a batch from a long query string
  2. run validation
  3. render result to data docs
  4. See screenshot
    <img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4
enhancement help wanted good first issue core-team
jwmueller
jwmueller commented May 6, 2022

Currently the X argument of CleanLearning.fit() does not seem to support non-array data.
Perhaps this is due to the sklearn function check_X_y() called inside CleanLearning, which we could replace.
Or perhaps it's due to how the cross-validation is currently being implemented.

However these are both easy to improve to rid the restriction that only array data are supported.
Seems e

enhancement good first issue urgent
natsoule
natsoule commented May 17, 2022

Is your feature request related to a problem? Please describe.
The current Feast online store for GCP implementation requires Firestore in Datastore mode. Firestore can only be in one mode at a time per GCP account. You cannot use native mode for some applications and Datastore mode for others within the same account. Adding a feature store to an existing GCP account that uses native mode wou

kind/feature good first issue priority/p2 Community Contribution Needed
lakeFS
arielshaqed
arielshaqed commented Jun 1, 2022

Git supports dated revisions:

[<refname>]@{<date>}, e.g. master@{yesterday}, HEAD@{5 minutes ago}
A ref followed by the suffix @ with a date specification enclosed in a brace pair
(e.g. {yesterday}, {1 month 2 weeks 3 days 1 hour 1 second ago} or
{1979-02-26 18:30:00}) specifies the value of the ref at a prior point in time.
This suffix may only be u

good first issue area/cataloger area/API team/versioning-engine
hangfei
hangfei commented May 23, 2022

This is reported by Manjunath from Slack channel.
For work_dir: "dbfs:/feathr_getting_started"
The user was running jupyter notebook from windows.
without forward slash('dbfs:/feathr_getting_started') the job configs were coming as '--join-config', 'dbfs:/feathr_getting_started\feature_join.conf'

To fix this, the user need to add foward slash: `work

enhancement good first issue
tozka
tozka commented Apr 11, 2022

What is the feature request? What problem does it solve?

As employees leave the organization/company or users change mails , eventually the notification list configured for the job would start containing a lot of invalid mails. This causes issues with SMTP relay (e.g postfix) which could be buffering all invalid requests until the queu is full, which cause all mails coming for all jobs to b

enhancement good first issue
NBi

NBi is a testing framework (add-on to NUnit) for Business Intelligence and Data Access. The main goal of this framework is to let users create tests with a declarative approach based on an Xml syntax. By the means of NBi, you don't need to develop C# or Java code to specify your tests! Either, you don't need Visual Studio or Eclipse to compile your test suite. Just create an Xml file and let the framework interpret it and play your tests. The framework is designed as an add-on of NUnit but with the possibility to port it easily to other testing frameworks.

  • Updated Jan 23, 2022
  • C#

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