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This online calculator calculates entropy of Y random variable conditioned on X random variable and X random variable conditioned on Y random variable given a joint distribution table (X, Y) ~ p. The conditional entropy H (Y|X) is the amount of information needed to describe the outcome of a random variable Y given that the value of another ...
This online calculator calculates entropy of Y random variable conditioned on X random variable and X random variable conditioned on Y random variable given a joint distribution table (X, Y) ~ p.
In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable given that the value of another random variable is known. Here, information is measured in shannons, nats, or hartleys.
13 Μαΐ 2020 · Entropy helps us quantify how uncertain we are of an outcome. And it can be defined as follows 1: \[H(X) = -\sum_{x \in X}{p(x)\log_2p(x)}\] Where the units are bits (based on the formula using log base \(2\)). The intuition is entropy is equal to the number of bits you need to communicate the outcome of a certain draw.
Entropy calculator uses the Gibbs free energy formula, the entropy change for chemical reactions formula, and estimates the isothermal entropy change of ideal gases.
13 Ιουλ 2021 · Assuming variables $x$ and $y$ are independent, How can I calculate the conditional entropy $H(y \mid x=3)$ from the given probability distribution? Since variables are independent we can easily calculate all $p_{ij} = p_x * p_y$ .
Discover the Entropy Calculator, your go-to tool for calculating entropy in various contexts. Easily compute entropy values for data analysis, information theory, and thermodynamics. Perfect for students, researchers, and professionals seeking accurate entropy calculations.
