[英]LightFM on AWS sagemaker | Is it possible to train model
I am using LightFM for recommender system https://github.com/lyst/lightfm 我正在将LightFM用于推荐系统https://github.com/lyst/lightfm
Now I want to move my model to AWS Sagemaker where this is not part of build in algorithm, now I want to train my model using this algorithm and also want to leverage Sagemaker capability for huge data, I am following this link to run my custom model https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html 现在,我想将模型移到AWS Sagemaker上,而这不是内置算法的一部分,现在我想使用此算法训练模型,并且还想利用Sagemaker功能处理海量数据,我正在此链接下运行我的自定义型号https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms.html
Now, it seems I need to install docker image of this algorithm and too much other things too, is it any simple way to train my model without pre-build algorithm. 现在,似乎我需要安装此算法的docker映像以及太多其他内容,这是无需预构建算法即可训练我的模型的任何简单方法。
You'll have to put the algorithm into a docker container and bring it to SageMaker for training. 您必须将算法放入docker容器中,并将其带到SageMaker进行培训。 You may want to check out SageMaker sample notebooks to get some examples of preparing the docker images.
您可能想查看SageMaker示例笔记本以获取准备docker映像的一些示例。 For example, https://github.com/awslabs/amazon-sagemaker-examples/tree/master/advanced_functionality/r_bring_your_own
例如, https://github.com/awslabs/amazon-sagemaker-examples/tree/master/advanced_functionality/r_bring_your_own
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