np.argmax(bp_c, axis=1).squeeze()
时间: 2023-12-03 12:04:57 浏览: 10
As an AI language model, I cannot access the context of the code to provide a specific explanation. However, in general, np.argmax() is a function from the NumPy library that returns the indices of the maximum values along a given axis. The "axis=1" argument specifies that the maximum values are searched along the second axis of the input array. The squeeze() function is used to remove any singleton dimensions from the output array.
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np.argmax(prediction, axis=-1)
np.argmax(prediction, axis=-1)是一个numpy函数,它用于在给定数组中沿指定轴找到最大值的索引。在这个例子中,prediction是一个多维数组,axis=-1表示沿着最后一个轴找到最大值的索引。具体来说,这个函数会返回prediction数组中每个子数组中最大值的索引,这些子数组都是沿着最后一个轴切片的。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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np.argmax(pred, axis=1)
`np.argmax(pred, axis=1)` 是一个 NumPy 函数,用于在给定轴上返回一个数组中最大值的索引。在这个例子中,`pred` 是一个多维数组(如矩阵),`axis=1` 表示沿着第一个维度(行)进行操作。
该函数的作用是返回 `pred` 中每一行中最大值所在的列索引。具体来说,它会返回一个一维数组,其中每个元素表示相应行中最大值的列索引。
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