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10
serve.py
10
serve.py
@@ -14,7 +14,7 @@ import csv
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class Config:
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feature_columns = list([0, 1, 2, 3, 4, 5])
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feature_columns = list(range(0, 6))
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label_columns = [3, 4, 5]
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feature_and_label_columns = feature_columns + label_columns
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label_in_feature_columns = (lambda x, y: [x.index(i) for i in y])(feature_columns, label_columns)
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@@ -27,7 +27,7 @@ class Config:
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hidden_size = 128
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lstm_layers = 2
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dropout_rate = 0.2
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time_step = 20
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time_step = 5
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do_train = True
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do_predict = True
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@@ -79,8 +79,10 @@ class Data:
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self.start_num_in_test = 0
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def read_data(self):
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init_data = pd.read_csv(self.config.train_data_path,
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usecols=self.config.feature_and_label_columns)
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init_data = pd.read_csv(
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self.config.train_data_path,
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usecols=self.config.feature_and_label_columns
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)
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return init_data.values, init_data.columns.tolist()
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def get_train_and_valid_data(self):
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