Host your model in the cloud
AI Platform provides tools to upload your trained ML model to the cloud, so that you can send prediction requests to the model.
In order to deploy your trained model on AI Platform, you must save your trained model using the tools provided by your machine learning framework. This involves serializing the information that represents your trained model into a file which you can deploy for prediction in the cloud.
Then you upload the saved model to a Cloud Storage bucket, and create a model resource on AI Platform, specifying the Cloud Storage path to your saved model.
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The ML workflow
To develop and manage a production-ready model, you must work through the following stages:
- Source and prepare your data.
- Develop your model.
Train an ML model on your data:
Train model
- Evaluate model accuracy
Tune hyper...
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