2020-12-08 20:14:00 +01:00
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import pickle
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import sys
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import torch
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import pandas as pd
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def read_data_file(filepath):
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df = pd.read_csv(filepath, sep='\t', header=None, index_col=None)
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dataframe = df.iloc[:, [7,10]]
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dataframe.columns = ['biggy','type']
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#print(dataframe.size[0])
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# for x in range(len(dataframe)):
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# dataframe['biggy'].loc[x] = dataframe['biggy'].loc[x].replace(" ","")
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#such dumb solution, well, but at least it works
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dataframe['bias'] = 1
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dataframe['biggy'] = dataframe['biggy'].astype(float)
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return dataframe
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def dataframe_to_arrays(dataframe):
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dataframe1 = dataframe.copy(deep=True)
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dataframe1["type"] = dataframe1["type"].astype('category').cat.codes
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return dataframe1
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2020-12-08 20:50:35 +01:00
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#PREDICT_FILE_PATH = 'dev-0/in.tsv'
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2020-12-08 20:14:00 +01:00
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PREDICT_FILE_PATH = 'test-A/in.tsv'
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def main():
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w = pickle.load(open('model.pkl', 'rb'))
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data = read_data_file(PREDICT_FILE_PATH)
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data = dataframe_to_arrays(data)
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for index, row in data.iterrows():
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#print(row[0], row[1])
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x = torch.tensor([float(row[0]), float(row[1]), 1])
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y = x @ w
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print(y.item())
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main()
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