Introduction: What Is Argmax in Machine Learning?
In applied machine learning, you may encounter Argmax as a mathematical function. When describing algorithms, you may see terms like “argmax” or “argmax” in research papers. Your algorithm implementation may also involve using the argmax function.
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You may be unfamiliar with the argmax function and wonder what it is and how it works.
- By using Argmax, you can determine which argument gives the highest value to a target function.
- In machine learning, argmax is commonly used to find the class with the highest predicted probability.
- In practice, the argmax() NumPy function is preferred over manual implementation of argmax. NumPy library is also preferred part of your project.
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What Is Argmax?
The argmax function is a mathematical function. Typically, it is applied to functions that take arguments. As an example, given a function g() that takes the argument x, the argmax operation of that function would be as follows:
- result = argmax(g(x))
argmax returns the argument or arguments (arg) for the target function that return the maximum value (max) from the target function.