如何在 azureml 中加载实验？

Question

我有很多实验，比如：

现在，我想加载一个实验

#%% sumonando os pacotes e verificando azureml.core
import azureml.core
import pandas as pd
import numpy as np
import logging

print("AzureML SDK Version: ", azureml.core.VERSION)

#%% Conectando ao azure e crinado o exparimento

from azureml.core import Workspace, Experiment

ws = Workspace.from_config() 
print(Experiment.list(ws))
#%%
Experiment = Experiment.from_directory('teste2-Monitor-Runs') `

但是

"error": {
    "message": "No cache found for current project, try providing resource group and workspace 
arguments"
}`

内容：azureml.core.Experiment class - Azure Machine Learning Python

Answer 1

根据 AzureML 的实验 class 文档，他们将实验定义为试验或运行的容器。如果您希望访问容器或整个实验，您可以仅通过名称访问它（只要您配置了正确的工作区）。请参阅下面的代码段：

from azureml.core import Experiment, Workspace
ws = Workspace.from_config()
my_exp = Experiment(ws, name="teste2-Monitor-Runs")

Answer 2

我相信是这样。

from azureml.core import Experiment, Workspace
Experiment = ws.experiments["teste2-Monitor-Runs"]

如何在 azureml 中加载实验？

How to load an experiment in azureml?

python

azure-machine-learning-service