Caesar AI Atlas

Inference Path

Caesar AI Atlas Definition

An inference path is the sequence of steps, rules, model operations, or decision nodes used to reach a particular output. In explainability and audit contexts, documenting the inference path can help show how inputs were transformed into a decision or recommendation.

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Inference Path Source

In a decision tree, during inference, the route a particular example takes from the root to other conditions, terminating with a leaf. For example, in the following decision tree, the thicker arrows show the inference path for an example with the following feature values: - x = 7 - y = 12 - z = -3 The inference path in the following illustration travels through three conditions before reaching the leaf (). !A decision tree consisting of four conditions and five leaves. The root condition is (x > 0). Since the answer is Yes, the inference path travels from the root to the next condition (y > 0). Since the answer is Yes, the inference path then travels to the next condition (z > 0). Since the answer is No, the inference path travels to its terminal node, which is the leaf (Zeta). The three thick arrows show the inference path. See Decision trees in the Decision Forests course for more information.

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