We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent 673d4ca commit 2797421Copy full SHA for 2797421
ch46-机器学习-K近邻/2-使用kNN对手写数字OCR.py
@@ -51,3 +51,6 @@
51
print(data.files)
52
train = data['train']
53
train_labels = data['train_labels']
54
+
55
56
+#TODO 怎样预测数字?
ch46-机器学习-K近邻/2-英文字母的OCR.py
@@ -29,4 +29,6 @@
29
correct = np.count_nonzero(result == labels)
30
accuracy = correct * 100.0 / 10000
31
print(accuracy)
32
-#准确率 到了 93.22%。同样你可以 增加 练样本的数 来提 准确 率。
+#准确率 到了 93.22%。同样你可以 增加 练样本的数 来提 准确 率。
33
34
+#TODO 怎样预测字母?
0 commit comments