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?

We recently deprecated --no-conda flag, but our examples still use it. They should be updated to use --env-manager=local instead.

https://github.com/mlflow/mlflow/blame/master/examples/pytorch/AxHyperOptimizationPTL/README.md#L26

mlflow run . --no-conda

The code above needs be fixed to the following:

mlflow run . --env-manager=local

/kind feature

Why you need this feature:

Sub-issue of kubeflow/kubeflow#6353

To have support for K8s 1.22 we need to ensure all our crud web apps, Jupyter, TensorBoards, Volumes, are using the v1 version of SubjectAccessReviews. https://kubernetes.io/docs/reference/using-api/deprec

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

Introduction

This tutorial should go over training a model using MindsDB that predicts whether an email is Spam or not. Example dataset can be found here.

Tutorial summary

The tutorial should follow the below steps :

• Connect mindsb to database
• Train new model
• Desc

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.

Currently the checks reside in the time series module. It would be better to move them to base class so that all task types can benefit from it.

O, we went with a private method for now. Currently, it is in the time series module only. Later we may add it to the base class itself.

Originally posted by @ngupta23 in pycaret/pycaret#2354 (comment)

🚨🚨 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

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?

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。

Expected Behavior

The __hash__ methods should not be implemented like this:

def __hash__(self) -> int:
    return hash((id(self), self.name))

Objects with the __hash__ method implemented in such a way are not being deduplicated correctly in e.g. sets and dicts.

Current Behavior

Steps to reproduce

Specifications

• Version:
• Platform:
• Subsystem: