mlops

Describe the bug
When exporting a brush annotation as a PNG, the output is not mapped by the background colors specified in (Settings > Labeling Interface). In addition, when exporting as a JSON, the background colors for the attributes are not specified anywhere, leaving the values that were selected in the interface as arbitrary and as not linked to any of the outputs.

To Reproduce

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

We currently have read and write capabilities but do not support deleting. We could add a few calls like delete delete_all and some recursive way of deleting.

🚨🚨 Feature Request

• A new implementation (Improvement, Extension)

Is your feature request related to a problem?

Currently, if a user tries to access an index that is larger than the dataset length or tensor length, an internal error is thrown which is not easy to understand.

Description of the possible solution

We can catch the error and throw a more descriptive e

Is your feature request related to a problem? Please describe.

Feast is often hard to install alongside other python packages that use google-cloud-core. Specifically, Feast sets an upper-bound on this library (2.0.0), but the latest version is 2.3.1 and many python packages have a lower-bound of 2.0.0 and above.

Describe the solution you'd like

Remove google-cloud-core fr

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.

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.

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.

🚀 The feature

Hey folks - I was wondering whether TorchServe has considered supporting the Inference V2 API proposed by KServe (https://github.com/kserve/kserve/blob/master/docs/predict-api/v2/required_api.md) It seems Triton, TFServing, and MLServer all support this API.

Please let me know if I'm missing that this is already on a public roadmap.

Motivation, pitch

It seems KServe V2

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

I got a user who asked me if their pipeline.yaml looked well and I noticed they had something like this:

tasks:
   # ... a bunch of tasks
   - source: fit.py
      product:
        nb: path/to/report.html
        data: path/to/data.csv
        data1: path/to/data.csv
        data2: path/to/data.csv

The user was confused and thought that the naming should be name, name1

We need to support writing to and reading from TFRecord format.

Reference doc: https://www.tensorflow.org/tutorials/load_data/tfrecord

More on TypeTransfomers can be found here.

Related PR that adds PyTorch tensor and module as Flyte types: flyteorg/flytekit#1032

Contact Details [Optional]

support@zenml.io

Describe the feature you'd like

When someone uses the zenml secret register --help command, the formatting of the CLI help information comes out wrong with line breaks not really happening. It isn't possible to read the text printed to the terminal as executed within [the register_secret function](https://github.com/zenml-io/zenml/blob/373

Crate:         tempdir
Version:       0.3.7
Warning:       unmaintained
Title:         `tempdir` crate has been deprecated; use `tempfile` instead
Date:          2018-02-13
ID:            RUSTSEC-2018-0017
URL:           https://rustsec.org/advisories/RUSTSEC-2018-0017
Dependency tree: 
tempdir 0.3.7
├── storage 0.2.0
│   └── qdrant 0.7.0
├── segment 0.3.1
│   ├── storage 0.2.0
│

Data integrity check
Similar to the tabular feature-label correlation check but with the image properties as features.
Useful for preventing shortcut learning.