mlops

Describe the bug
I am trying to label Hebrew text (RTL language). When labels are attached to the text, the words of the text are mixed and not shown in their original order.

To Reproduce
Steps to reproduce the behavior:

1. Create a project with attached dataset.json dataset.txt
2. Choose NER template
3. Start

Description

We're running usability tests and would love for you to record walking through our tutorials. The idea for this ticket is that you do a screen capture walking through one of more of the following examples:

• Hello World! (15 minutes)
• [Iris Dataset](https://kedro.readthedocs.io/en/stable/02_get_started

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

Metaflow currently supports Py>=3.4 (with limited support for Py2.7) and R>=3.8. The GH tests only test for Py3.7 and R4.1. We should ensure we test on the whole set of permutations.

🚨🚨 Feature Request

If your feature will improve HUB

To explore the structure of a dataset it is convenient to have nicer and more informative prints of dataset objects and samples

Description of the possible solution

1) show ds

now

> ds
Dataset(path='hub://activeloop/abalone_full_dataset', tensors=['length', 'diameter', 'height', 'weight'])

Use case

Polyaxon tracking can be used to automatically log all information generated by Ludwig.

We should probably think about adding support for Polyaxon's tracking module in Ludwig contrib.

The documentation for creating complex inference graphs should include what components can be connected to what, and how the overall graph should behave.

For example, all inference graphs need to end with a single node, whether its a combiner combining multiple inputs, or a transformer, or a model--the graph can't split and then never rejoin, etc.

Offline stores currently only support their corresponding data source. For example:

class BigQueryOfflineStore(OfflineStore):
    def pull_latest_from_table_or_query(...):
        assert isinstance(data_source, BigQuerySource)
        ...

Users have asked about allowing offline stores to support multiple different data sources. This issue tracks that user request.

What steps did you take

• Click on a task on the KFP run page.
• On the Input/Output tab, click the minio:// link for main-logs to view raw logs.

What happened:

The logs file is served from the minio Express webserver without any character encoding header. This causes any non-ascii UTF-8 characters to be rendered as garbled text.

What did you expect to happen:

I think

The OpenMLDB project is a community-driven project, thus we welcome all kinds of contribution from the community. We have started an OpenMLDB Contributor Program, which provides rewards to encourage you to join our community.

Here is the explanation about this program (we also provide a Chinese version here):

• We have listed issues that are suitable

The web API endpoints (mainly, the search endpoints) do pack the encoded content (key, value pairs) to a bytes stream. This step uses struct.pack but is suboptimal and should be improved.
The issue applies mainly to https://github.com/aimhubio/aim/blob/9ba5fdca36e69ab6cbb74296333c2f8bc56392a4/aim/web/api/runs/utils.py#L109.
Other places where struct is used should be checked and enhanced if

Describe the issue

Currently we run the Linter CI for golang repos using the golang-ci-linter binary. But according to the documentation it is faster and better to use the github action.
https://golangci-lint.run/usage/install/

The UX of all the error highlighting is also better.

What if we do not do this?

Finding linter errors is troublesome as users have to parse through the cons

Contact Details [Optional]

support@zenml.io

Describe the feature you'd like

Currently our CLI offers a way to install the python packages that are required for a given integration. However, some of our integrations also have system requirements that are necessary to make them work (graphviz, kubectl, etc. ).
All system requirements should be listed on an integration level, just

The chrono crate should be completely removed from the codebase and replaced with time.