WEBVTT

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Welcome back.

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Our Android app should allow the user to enter those parameters.

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Cylinders.

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Displacement.

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Horsepower.

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Weight.

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Acceleration.

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Model.

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Year.

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Origin one, two and three.

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So we're going to design a data class that contains all those parameters.

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And from this data class we need to store the results and the input from the user in order to pass it

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to our TensorFlow Lite model.

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For this, create a new package, name it as data, and inside this data create a new Kotlin class named

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as Car Features.

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Make it as data class.

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Okay, inside this data class car features start creating the variables val cylinders.

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It's of type float.

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Displacement equals to float.

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150 horsepower 100 f.

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Weight 3000 f.

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Also, it's a float.

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Acceleration float.

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Make it 15.

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And the model year, which is 76.

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For example, origin one, which is one f.

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This is American, origin two European, and the third origin is Japanese.

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So those are the features cylinders, displacement, horsepower, weight, acceleration, model year

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and the origins.

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And those are the default values of them.

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If the user didn't specify them and I made them just for helping the user to select uh and take uh like

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a quick overview about the numbers.

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So he should not specify the number of cylinders like 100.

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So it would be close to two for the displacement, the horsepower and so on.

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Okay.

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Let me create another data class named as Validate results.

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Val is valid.

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It's of type boolean and val error.

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List of string equals to empty list.

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So in this video we created those data classes for car features.

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And we specified the nine parameters.

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And the data class validate results that would be used in order to check the validation of the results,

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and going to check that for errors and display a list of errors if there are any new errors.