test_label.argmax(axis=1)
时间: 2024-06-06 20:07:03 浏览: 12
As an AI language model, I don't have access to the specific code or data you are currently working with. However, I can provide a general explanation of what the code "test_label.argmax(axis=1)" does.
In machine learning, labels are the output values that a model is trying to predict. These labels are often represented as a set of numbers or categories. The "argmax" function is a mathematical operation that returns the index of the largest value in an array.
When "test_label.argmax(axis=1)" is used, it means that the argmax function is being applied to the "test_label" array along the "axis=1" dimension. This means that the argmax function is being applied to each row of the array, and the output will be an array containing the index of the largest value in each row.
For example, if "test_label" is a 2D array with 3 rows and 4 columns, then "test_label.argmax(axis=1)" will return a 1D array with 3 elements, where each element represents the index of the largest value in each row of the original array.
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