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bayes2.py
19
bayes2.py
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import pandas as pd
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import pandas as pd
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import numpy as np
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import gzip
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import gzip
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dev = pd.read_table('dev-0/in.tsv', error_bad_lines=False, header=None)
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dev = pd.read_table('dev-0/in.tsv', error_bad_lines=False, header=None)
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test = pd.read_table('test-A/in.tsv', error_bad_lines=False, header=None)
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test = pd.read_table('test-A/in.tsv', error_bad_lines=False, header=None)
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print(dev)
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X_train = []
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y_train = []
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train_y = []
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train_X = []
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with gzip.open('train/train.tsv.gz', 'r') as f:
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with gzip.open('train/train.tsv.gz', 'r') as f:
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for l in f:
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for l in f:
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line = l.decode('UTF-8').replace("\n", "").split("\t")
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line = l.decode('UTF-8').replace("\n", "").split("\t")
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train_y.append(line[0])
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y_train.append(line[0])
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train_X.append(''.join(line[1:]))
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X_train.append(line[1:])
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print(train_y[1:20])
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X_train = np.asanyarray(X_train)
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print(train_X[1:3])
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y_train = np.asanyarray(y_train)
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X_dev = dev[0].values
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X_test = test[0].values
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print(X_dev)
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