[scikit-learn] Google Cloud ML Error
Bill Ross
ross at cgl.ucsf.edu
Fri Jan 25 14:33:01 EST 2019
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
> <mailto: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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