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

Currently, you can do something like this: Task(Flow/RunID/StepName) and this will not result in an error but then the resulting Task object behaves in a bizarre manner where things like t.data will work but t.data.my_artifact will not for example.

We should validate the format of the pathspec passed in to each object and verify that the following are the only possible cases:

• Metaflo

🚨🚨 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.

Is your feature request related to a problem? Please describe.
Currently in feature_store.yaml, we can only specify a region for DynamoDB provider. As a result, it requires an actual DynamoDB to be available when we want to do local development/testing or integration testing in a sandbox environment.

Describe the solution you'd like
A way to solve this is to let user pass an endpoint

I have uploaded the metrics_visualization pipeline in the Kubeflow Console and when I invoke a run I am able to see the visualizations yet they are not seen in the run output

![image](https://user-images.githubusercontent.com/59866888/153585857-cda2921e-48b9-4528-b568-e8866fffb993.

Proposed refactoring or deprecation

Aim SDK includes logging adapters for popular ML frameworks, such as pytorch_lightning, keras, tf.keras, etc.
At the moment there are no unit-tests covering the Logger classes. Need to add tests for this part.

Motivation

Improve overall quality of the product, make sure no regressions occur when code modifications are made.

Pitch

As a

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

When running tasks in a grid, a number is appended at the end of the tasks product names. For example, the following pipeline.yaml file:

- source: example_task.py
   name: example-task
   product:
       data: output/output_dataframe.csv
   grid:
       input_dataframe: ['birds.csv', 'fish.csv', 'flowers.csv']

would result in 3 products: output_dataframe-1.csv, output_datafram

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

https://github.com/4paradigm/OpenMLDB/blob/420398b8349880bce262db06c3b143d023b56862/java/openmldb-batch/src/main/scala/com/_4paradigm/openmldb/batch/nodes/SelectIntoPlan.scala#L39-L41

If select closure in select into result is empty, we just skip saving, and the job is succeed. But users can't find the output file. It's not intuitive.
We should throw an exception.

Currrently , the CLI outputs "No such file or directory" but should be more verbose and explain which file could not be found.

No such file or directory (os error 2)

Is your feature request related to a problem? Please describe.
Currently, when building the docs using the make docs command, many errors and warnings are being raised. This makes the deployment really difficult because we can't know for sure that the docs are not broken.

Describe the solution you'd like
The required solution would be that the build process of the docs will contain