Searched refs:valid_data (Results 1 – 7 of 7) sorted by relevance
/Zephyr-Core-3.6.0/samples/modules/tflite-micro/magic_wand/train/ |
D | data_split_person.py | 46 valid_data = [] 52 valid_data.append(data) 56 print("valid_length:" + str(len(valid_data))) 58 return train_data, valid_data, test_data 69 train_data, valid_data, test_data = person_split(data, train_names, variable 74 write_data(valid_data, "./person_split/valid")
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D | data_split_person_test.py | 40 train_data, valid_data, test_data = person_split(self.data, train_names, 43 self.assertEqual(len(valid_data), liucx_num) 46 self.assertIsInstance(valid_data, list) 49 self.assertIsInstance(valid_data[0], dict)
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D | data_split.py | 54 valid_data = [] 76 valid_data.append(item) 82 return train_data, valid_data, test_data 87 train_data, valid_data, test_data = split_data(data, 0.6, 0.2) variable 89 write_data(valid_data, "./data/valid")
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D | train.py | 97 data_loader.valid_data, data_loader.test_len, data_loader.test_data 116 valid_data, argument 131 valid_data = valid_data.map(reshape_function) 138 valid_data = valid_data.batch(batch_size) 143 validation_data=valid_data, 188 train_len, train_data, valid_len, valid_data, test_len, test_data = \ variable 192 train_len, train_data, valid_len, valid_data, test_len, test_data = \ 199 train_net(model, model_path, train_len, train_data, valid_len, valid_data,
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D | data_load_test.py | 39 self.assertIsInstance(self.loader.valid_data, list) 45 self.assertEqual(self.loader.valid_len, len(self.loader.valid_data)) 80 for feature, label in self.loader.valid_data: 90 self.assertIsInstance(self.loader.valid_data, tf.data.Dataset)
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D | data_load.py | 45 self.valid_data, self.valid_label, self.valid_len = self.get_data_file( 103 self.valid_len, self.valid_data = self.format_support_func( 104 padded_num, self.valid_len, self.valid_data, self.valid_label)
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D | train_test.py | 37 self.train_len, self.train_data, self.valid_len, self.valid_data, \ 44 self.assertIsInstance(self.valid_data, tf.data.Dataset)
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