[scikit-learn] Google Cloud ML Error

[Liam Geron]

No such luck, the file doesn't seem to exist. Here's the output on my local:*
"ls: /tmp/model/0001/model.joblib: No such file or directory"*

and *"/tmp/model/0001/model.joblib: cannot open
`/tmp/model/0001/model.joblib' (No such file or directory)"*

and on the cloud shell: *"ls: cannot access '/tmp/model/0001/model.joblib':
No such file or directory"*

and *"/bin/sh: 1: file: not found".*

On Fri, Jan 25, 2019 at 1:29 PM Bill Ross <ross at cgl.ucsf.edu> wrote:

> 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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