[scikit-learn] Google Cloud ML Error

[Bill Ross]

Dumb generic cross-check from supporting compchem code in the day: What 
do these give? Might yield a clue, e.g. all model files seeing this got 
corrupted somehow.

$ file */tmp/model/0001/model.joblib*

*$ ls -l ***/tmp/model/0001/model.joblib**

**
**

On 1/25/19 9:26 AM, Liam Geron wrote:
> Hi scikit learn contributors,
>
> I am currently attempting to transfer our preexisting models into 
> cloud ML for scalability, however I am encountering bugs while running 
> through some tutorial code found 
> here (https://github.com/GoogleCloudPlatform/cloudml-samples/blob/master/sklearn/notebooks/Online%20Prediction%20with%20scikit-learn.ipynb).
>
> On both my local machine in a virtual environment and on the cloud 
> shell I'm encountering errors when it comes to version creation and 
> online prediction. For version creation on my local machine and on the 
> cloud shell I'm encountering this error: *"ERROR: 
> (gcloud.ml-engine.versions.create) Bad model detected with error:  
> "Failed to load model: Could not load the model: 
> /tmp/model/0001/model.joblib. 32. (Error code: 0)""* with Python 3.6.4 
> (local) and Python 3.5.6 (cloud shell) when running the command:
>
> *"gcloud ml-engine versions create $VERSION_NAME \*
> *    --model $MODEL_NAME \*
> *    --config config.yaml"*
>
> Any help would be greatly appreciated.
>
> Thank you,
> Liam Geron
>
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