Azure / Azure/MachineLearningNotebooks
ImportError: Missing required package "azureml-dataset-runtime"
- Langage dominant
- Jupyter Notebook
- Étoiles
- 4.4k
- Forks
- 2.6k
- Métriques de merge des PR
- Aucune PR mergée en 30 j
Description
I am having a weird issue in Azure ML.
I like to work in isolated conda environments with its own kernel, so for each little project I create my own environment and kernel like this:
```
conda create — name myenv
conda activate myenv
conda install pip
conda install ipykernel
python -m ipykernel install --user --name myenv --display-name myenv
```
This creates the environment and the kernel, and then it's totally empty which means I have to install all modules myself. (including Azure SDK)
So I tried to install the following:
%pip install azureml
%pip install azureml-core
%pip install pandas
%pip install azureml-dataset-runtime --upgrade
And then I tried to run a simple Load Dataset code
```
# azureml-core of version 1.0.72 or higher is required
# azureml-dataprep[pandas] of version 1.1.34 or higher is required
from azureml.core import Workspace, Dataset
subscription_id = 'xx'
resource_group = 'mlplayground'
workspace_name = 'mlplayground'
workspace = Workspace(subscription_id, resource_group, workspace_name)
dataset = Dataset.get_by_name(workspace, name='BelgiumRealEstate')
df=dataset.to_pandas_dataframe()
```
But then I get this error:
Missing required package "azureml-dataset-runtime", which can be installed by running: "/anaconda/envs/LightGBM/bin/python" -m pip install azureml-dataset-runtime --upgrade
And Yes, I tried to run this command, but got errors when trying to install it:

Can someone please enlighten me? Am I doing something wrong?
Thanks a lot.
Guide de contribution
Aucun guide de contribution indexé pour ce dépôt
Piste de recherche
Utilisez la configuration conda du notebook et la cellule Dataset.get_by_name/to_pandas_dataframe affichée comme chemin de reproduction. Vérifiez quel kernel et quel interpréteur reçoivent chaque %pip install, puis documentez une correction reproductible des dépendances ; c’est terminé lorsque la cellule s’exécute sans l’erreur de paquet manquant.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- azure, jupyter-notebook, pandas, python
- Domaine
- devtools, machine-learning
- Type d'issue
- Bug
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- À l'abandon
- Clarté
- À clarifier
- Accessibilité débutants
- 20/100