[scikit-learn] Google Cloud ML Error

[Bill Ross]

I'm a kibitzer who never ran it myself, just a compulsive debugger looking at a basic possibility.

Bill

<div>-------- Original message --------</div><div>From: Liam Geron <liam at chatdesk.com> </div><div>Date:01/25/2019  12:16 PM  (GMT-08:00) </div><div>To: Scikit-learn mailing list <scikit-learn at python.org> </div><div>Subject: Re: [scikit-learn] Google Cloud ML Error </div><div>
</div>As in updated the sklearn module or the joblib module? I'm currently running sklearn on 0.19.1 and joblib on 0.13.1. Do I need to be running them on a specific version?

On Fri, Jan 25, 2019 at 2:35 PM Bill Ross <ross at cgl.ucsf.edu> wrote:
Have you updated the project since this:



Since joblib is involved here as well, I'd look at that checkin. Joblib expects there to be a model, maybe it is just configure to look in the wrong place.

On 1/25/19 10:54 AM, Liam Geron wrote:
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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