How to load an experiment in azureml?

Question

I have many experiment, like:

and now, i want load an experiment

#%% 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') `

but

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

---

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

Answer 1

Following AzureML's Experiment class documentation, they define an Experiment as a container of trials or runs. If you wish to access the container or the Experiment as a whole, you can use just access it by name (as long as you have the right workspace configured). See snippet below:

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

Answer 2

I believe it is that way.

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