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 <r...@cgl.ucsf.edu
<mailto:r...@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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