Current implementation of Go binding can not specify options.

GPUOptions struct is in internal package. And go generate doesn't work for protobuf directory. So we can't specify GPUOptions for NewSession.

New Operator

Describe the operator

Why is this operator necessary? What does it accomplish?

This is a frequently used operator in tensorflow/keras

Can this operator be constructed using existing onnx operators?

If so, why not add it as a function?

I don't know.

Is this operator used by any model currently? Which one?

Are you willing to contribute it?

https://github.com/actions recently released v3 for their actions (e.g. https://github.com/actions/setup-python/releases/tag/v3.0.0). We should upgrade our GitHub Actions config to use the new version.

Example:

https://github.com/mlflow/mlflow/blob/f9e5200a3a1e8d5ec86fd4ed9776f1c2392ce18e/.github/actions/setup-python/action.yml#L32

-      - uses: actions/setup-python@v2
+      -

Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.

Let's make the error message more actionable.

Error user sees:

I would recommend adding similar named column(s):

- $"Provided {columnPurpose} column '{columnName}' not found in training data."
+ $"Provided {columnPurpose} column '{columnName}' not found in training 

Info

We need Helm charts(v3) for the deployment of MindsDB on Kubernetes.

Additional info

If you need help 🆘 , join our Slack and post your questions in the technical_support channel. MindsDB team 🗣️ will answer all your questions 🙌 .

For each contributio

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

Is your feature request related to a problem? Please describe.
The current value of alpha value is hardcoded in many places to 0.05.

Describe the solution you'd like
Take this as a setup argument and use it everywhere for consistency. The default value can be 0.05.

🚨🚨 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'])

In Ue format string it represent float with comma separator, it crash css style

To fix it you can Round/replace/incluse culture info

samples/csharp/end-to-end-apps/ScalableSentimentAnalysisBlazorWebApp/BlazorSentiment.Client/Shared/HappinessScale.razor

I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?

Summary

单价4卡ddp训练resnet50，core dump.
堆栈信息如下：

F0315 15:02:10.932755 32655 memcpy.cpp:38] Check failed: cudaMemcpyAsync(dst, src, count, cudaMemcpyDefault, cuda_stream->cuda_stream()) : an illegal memory access was encountered (77)
*** Check failure stack trace: ***
@ 0x7febd783b3fd google::LogMessage::Fail()
@ 0x7febd783cc7a google::LogMessage::SendToLog()
@

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.