mlops

At the moment, from API there are two useful columns about tasks:

However, in tabs (views) there are possible columns tasks:created_at a

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

With a config like this

{
    "METAFLOW_DATASTORE_SYSROOT_S3": "s3://mf-test/metaflow/",
}

(note a slash after METAFLOW_DATASTORE_SYSROOT_S3)

metaflow.S3(run=self).put* produces double-slashes like here:

s3://mf-test/metaflow//data/DataLoader/1630978962283843/month=01/data.parquet

The trailing slash in the config shouldn't make a difference

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

🚨🚨 Feature Request

• Related to an existing Issue
• A new implementation (Improvement, Extension)

If your feature will improve HUB

Need a way to check if a dataset already exists.

hub.empty throws an error if a dataset exists and hub.load throws an error if the dataset does not exist.

Need a way to check if a dataset already exists without throwing a

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.

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.

Is your feature request related to a problem? Please describe.
I have a framework that handles the offline store. It creates the tables, indexes, reads data from different data sources, does some transformations, and then inserts into the offline store. As a part of this, I can construct the entities, feature views, feature services, etc, a instance of the ParsedRepo class for Feast. What I n

Translate the Chinese deployment doc into the English version. The English version should be put into docs/en/deploy.md .

Need to make utilities in aim/sdk/num_utils.py to treat as numeric values the following types:

1. numpy.ndarray with shape (1,).
2. subclasses of numpy.number.
3. tensor for scalar values (tensorflow, torch).

Change Run.track() method to not allow values which are not numeric values nor AimObject.

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

Currently, there is no way to limit the number of tokens using the config file.

Potential config could contain JSON element like:

"dataset": {
    "columns": [
      {
        "name": "id",
        "type": "number"
      },
      {
        "name": "author",
        "type": "text",

        ---------> "tokenLimit": 1000, <-----------------

      },
      {
        "name"

Users can tell Ploomber to track changes to configuration files via resources_, however, to track changes, we compute a file hash which may take too long if the file is large.

We should show a warning if this happens, resources_ should not be used with large files.