From the course: Data Science on Google Cloud Platform: Predictive Analytics

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Creating a model version

Creating a model version - Google Cloud Tutorial

From the course: Data Science on Google Cloud Platform: Predictive Analytics

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Creating a model version

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- [Narrator] Now that we have created a model, we need to create a specific version of the model in order to deploy the Python model we built earlier. On the model record in the browser, click on the three dots and select "Create Version." A Version creation page shows up. Let us enter the following information. For the name I'm going to enter, "Website Propensity_V1." Description would be, "The first model built using Naive Bayes in Python." We then choose the specific Python version to run the model. We will choose 2.7, this is the version that is supported at the time of this recording. Next comes the framework for building the model. We will choose, "scikit learn," and then we choose the framework version to be 0.19.1. Next comes the version of cloud ML to use. We will choose the latest, 1.9. Then we choose the machine type that indicates a type of machine we need to run the model. Machines of higher capacity usually cost more to run. We are going to choose a single CPU machine…

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