Creating models considering multiple variables

Question

Hello:
I'm using Forecast to predict Temperature/Humidity/Wind Speed/etc. So far, I'm able to create the models for each parameter individually, but I think the model would benefit considering the other variables. For example, to predict the temperature, it could consider Humidity, Wind Speed, etc to train the model. But I don't see how to do this, as when I import the data, the Schema builder only allows me to include one column of type float, so if I train for Temperature (float type), no other float numbers are allowed (only strings). Is this doable? How should I define the other columns (Humidity, etc.)

Thanks

Answer

Hi User,

You should be able to add additional attributes of type float. Here is a sample screenshot of how it can be done:
![Enter image description here](/media/postImages/original/IMUw2J8Bm4S7S9esyga2GOUw)

This is done via the schema builder on AWS Console. Alternatively, it can be done via the JSON Schema like this:

{
			"AttributeName": "target_value",
			"AttributeType": "float"
		},
		{
			"AttributeName": "humidity ",
			"AttributeType": "float"
		},
		{
			"AttributeName": "temperature",
			"AttributeType": "float"
		},
		{
			"AttributeName": "Wind Speed",
			"AttributeType": "float"
		}

Hope this works for you!

Creating models considering multiple variables

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