np.argmax(bp_c, axis=1).squeeze()
时间: 2023-12-03 19:04:58 浏览: 37
As an AI language model, I do not have access to the context or the variables used in your code. However, I can explain the general functionality of "np.argmax(bp_c, axis=1).squeeze()" based on NumPy library.
"np.argmax" returns the indices of the maximum values along an axis. Here, it is applied to the "bp_c" array with "axis=1" which means it will return the index of the maximum value for each row.
".squeeze()" is used to remove single-dimensional entries from the shape of an array. In this case, it is used to remove any single-dimensional entries from the output of "np.argmax".
Therefore, "np.argmax(bp_c, axis=1).squeeze()" returns a 1D NumPy array containing the index of the maximum value for each row of "bp_c" array with any single-dimensional entries removed.