Value Classifications

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Value Classifications

Value classifications allow you to map data values through classification, independent of the property names. For example, you may want to create the following value mapping:

Source Data

{
    "size": "Small"
},
{
    "size": "Medium"
},
{
    "size": "Large"
}

Mapped Data

// The property name can be different or the same.
// Lume will do the property mappings and value mapping together, if applicable.
{
    "product_size": "S"
},
{
    "product_size": "M"
},
{
    "product_size": "L"
}

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How to classify values

To map values via classification, use the enum property in your pipeline’s target schema. Enums allow AI to classify data into your internal enum definitions.

For example, if your internal models work with product sizes as “S”, “M”, “L”, and you want all incoming data to map to one of these values, define the target property as shown below. Any source data provided will be classified into this enum if the AI successfully maps the property.

    "product_size": {
        "description": "The size of the shirt product",
        "type": "string",
        "enum": ["S", "M", "L"]
    }

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Classification rate limiting

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Editing Classifications