本文介绍了ml-engine-没有名为Trainer的模块的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我的目录为:
/ml_engine
setup.py
/trainer
__init__.py
task.py
model.py
我有一个与sklearn mixins一起使用的自定义模型，可让我将该模型用作sklearn模型.
I have a custom model used with sklearn mixins that allows me to use the model as a sklearn model.
但是，当我尝试上传模型时，我会收到错误消息:
However when I try to upload the model I would get the error:
gcloud alpha ml-engine versions create m_0_03 \
--model model_9281830085_204245556_prophet \
--origin gs://BUCKET/9281830085_204245556/2018-08-23T13:37:00.000218 \
--runtime-version=1.9 \
--framework SCIKIT_LEARN \
--python-version=3.5 \
--package-uris=["gs://BUCKET/model_packages/trainer/"] \
--model-class=trainer.model \
Creating version (this might take a few minutes)......
...................................................................................................failed.
ERROR: (gcloud.alpha.ml-engine.versions.create) Bad model detected with error: "Failed to load model: Could not load the model: /tmp/model/0001/model.pkl. No module named 'trainer'. (Error code: 0)"
带有alpha命令的ml-engine是否支持这种操作?
Does ml-engine with alpha commands support this kind of operation?
推荐答案
您需要运行python setup.py --sdist，然后将dist/trainer.tgz上传到GCS并将其用作--package-uris.
You need to run python setup.py --sdist and then upload dist/trainer.tgz to GCS and use that as --package-uris.
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