如何在azureml中加载实验？

Question

我做了很多实验，比如：

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现在，我要加载一个实验

#%% 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

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

内容：azureml.core.Experiment类- Azure机器学习Python

Answer 1

我相信是这样的。

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

Answer 2

在AzureML的实验课文档之后，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，您可以使用名称访问它(只要您配置了正确的工作区)。请参阅下面的片段：

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