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.

Feature Request

System information

ONNX version (you are using): The latest main branch.

What is the problem that this feature solves?

To enhance robustness of node test data, ONNX CIs should have some ways to validate updated/uploaded input.pb/output.pb and ONNX models. Currently at least ONNX models have been covered by this PR: onnx/onnx#3855. However,

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**Please fill in this feature request template to ensure a timely and thorough response.

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.

Typo under the description: Returns a containing. Returns a what?

Document Details

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• ID: d2dc315d-96d7-e54f-6e90-fec6ed09481c
• Version Independent ID: ab5d0a68-35d6-ef5f-786e-d89e7fee8034
• Content: [DataFrameColumn.Info Method (Microsoft.Data.Analysis)](https://docs.microsoft.com/e

The images for the Determining Body Fat Percentage tutorial are not loaded correctly. The correct path should be added.

Steps 🕵️‍♂️ 🕵️‍♀️

• Head over to https://github.com/mindsdb/mindsdb/blob/staging/docs/mindsdb-docs/docs/sql/tutorials/bodyfat.md
• Change the path to all images to have /sql path as:

![uploadfile](/assets/tutorials/bodyfat/upload_f

Is your feature request related to a problem? Please describe.
In time series plotting module, lot of plots are customized at the end - template, fig size, etc. Since the same code is repeated in all these plots, maybe this could be modularized and reused.

with fig.batch_update():
    template = _resolve_dict_keys(
        dict_=fig_kwargs, key="template", defaults=fig_default

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

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

你好，请问怎么装载 ONNX 模型，目前只看到 Oneflow->ONNX 工具，没有找到 ONNX->Oneflow 工具。

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?

Is your feature request related to a problem? Please describe.
The current Feast online store for GCP implementation requires Firestore in Datastore mode. Firestore can only be in one mode at a time per GCP account. You cannot use native mode for some applications and Datastore mode for others within the same account. Adding a feature store to an existing GCP account that uses native mode wou