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1path: "tensorflow.keras.callbacks.ModelCheckpoint"
2tf_class {
3  is_instance: "<class \'tensorflow.python.keras.callbacks.ModelCheckpoint\'>"
4  is_instance: "<class \'tensorflow.python.keras.callbacks.Callback\'>"
5  is_instance: "<type \'object\'>"
6  member_method {
7    name: "__init__"
8    argspec: "args=[\'self\', \'filepath\', \'monitor\', \'verbose\', \'save_best_only\', \'save_weights_only\', \'mode\', \'period\'], varargs=None, keywords=None, defaults=[\'val_loss\', \'0\', \'False\', \'False\', \'auto\', \'1\'], "
9  }
10  member_method {
11    name: "on_batch_begin"
12    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
13  }
14  member_method {
15    name: "on_batch_end"
16    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
17  }
18  member_method {
19    name: "on_epoch_begin"
20    argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
21  }
22  member_method {
23    name: "on_epoch_end"
24    argspec: "args=[\'self\', \'epoch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
25  }
26  member_method {
27    name: "on_predict_batch_begin"
28    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
29  }
30  member_method {
31    name: "on_predict_batch_end"
32    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
33  }
34  member_method {
35    name: "on_predict_begin"
36    argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
37  }
38  member_method {
39    name: "on_predict_end"
40    argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
41  }
42  member_method {
43    name: "on_test_batch_begin"
44    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
45  }
46  member_method {
47    name: "on_test_batch_end"
48    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
49  }
50  member_method {
51    name: "on_test_begin"
52    argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
53  }
54  member_method {
55    name: "on_test_end"
56    argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
57  }
58  member_method {
59    name: "on_train_batch_begin"
60    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
61  }
62  member_method {
63    name: "on_train_batch_end"
64    argspec: "args=[\'self\', \'batch\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
65  }
66  member_method {
67    name: "on_train_begin"
68    argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
69  }
70  member_method {
71    name: "on_train_end"
72    argspec: "args=[\'self\', \'logs\'], varargs=None, keywords=None, defaults=[\'None\'], "
73  }
74  member_method {
75    name: "set_model"
76    argspec: "args=[\'self\', \'model\'], varargs=None, keywords=None, defaults=None"
77  }
78  member_method {
79    name: "set_params"
80    argspec: "args=[\'self\', \'params\'], varargs=None, keywords=None, defaults=None"
81  }
82}
83