How to use a model trained by Azure AutoML

Question

Hi,
I've trained a classification model using Azure AutoML. In the "Output" folder of the best model page I can see these files:
]1]1

1- How should I use this model to predict new observations. I want to do this on Azure Machine Learning Studio, so no need to deploy it as a web service or take it to a local computer as a pickle file.

2- I saw a few examples where people downloading their model as a PKL file and loading and running it to get predictions. I tried it by using the following code:

import pickle  
Pkl_Filename = "testPickle.pkl"  
with open(Pkl_Filename, 'rb') as file:    
    Pickled_LR_Model = pickle.load(file)  
Pickled_LR_Model  

and got the below error:

ModuleNotFoundError Traceback (most recent call last)
<ipython-input-14-1e47995f2929> in <module>
2 Pkl_Filename = "testPickle.pkl"
3 with open(Pkl_Filename, 'rb') as file:
----> 4 Pickled_LR_Model = pickle.load(file)
5
6 Pickled_LR_Model

ModuleNotFoundError: No module named 'azureml.automl.runtime._ml_engine.featurizer_suggestion'

Also used the joblib library to load the model and got the same error. Please help me with detailed step-by-step instructions (including scripts) if it is possible. I'm new to Azure Machine Learning Studio.

Answer 1

I fixed this problem by creating a new compute instance and using it to load the pickle file. Sounds strange but it seems this error happens due to a mismatch between the azureml sdk on the jupyter instance and on the compute instance.

Answer 2

Hi, it is possible to unpickle a model.pkl file, but you need to do so in a conda environment that is compatible with the runtime env where the pickle was created. Try installing the full automl package: pip install azureml-automl-runtime to see if it helps resolve the issue.