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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