From the course: Machine Learning in Mobile Applications
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Client tie to custom model - Xamarin Tutorial
From the course: Machine Learning in Mobile Applications
Client tie to custom model
- [Instructor] The last thing we want to hook up is our custom model. Now we didn't have a NuGet package to work with, so instead we're going to need to call the rest API directly. So we're going to close up the visual recognition view model and save it if it needs to be saved and go to the house vote prediction view model. And we're going to look for a method called get yes vote chance A sync. And here it is, right now it just returns zero, being a zero percent chance for a yes vote. Now instead, we want to return the value of the service. So to start with, we're going to set up a variable for the encoding. And that's going to be equal to ASCII. And now we're going to want a URL for the end point so we're going to go var, URL, and that equals, and it's going to be a string. And we can find this information inside our predictive experiment in Azure Machine Learning Studio. Going to go to my experiments, and close up any windows that show up and we want to look at the web services. And…
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Azure Machine Learning overview2m 28s
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Language Understanding: Set up2m 51s
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Language Understanding: Intents4m 27s
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Language Understanding: Utterances4m 1s
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Custom Vision: Set up4m 25s
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Machine Learning Studio: Set up4m 46s
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Machine Learning Studio: Create model3m 53s
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Machine Learning Studio: Publish model3m 33s
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Install client SDK package2m 27s
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Client tie to LUIS5m 16s
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Client tie to Custom Vision model5m 24s
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Client tie to custom model4m 4s
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Client tie to custom model: Set up request6m 22s
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Client tie to custom model: Make the call8m 28s
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Run the clent app2m 12s
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