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src/__init__.py
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src/assets/images/sales.png
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src/assets/ml_components/ml_components_1.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d21f5cc50feb621a4a13dac233bacdcd7a009dd7011d334f3e3816e4ea4544e
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size 2435
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src/assets/ml_components/ml_components_2.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a926061fd1ed729e0394e94a31d7ad1cec200bb0a5424d37e08771f8c09b3884
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size 193011365
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src/utils.py
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import numpy as np
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import pickle
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def payday(row):
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if row.DayOfMonth == 15 or row.Is_month_end == 1:
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return 1
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else:
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return 0
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def date_extracts(data):
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data['Year'] = data.index.year
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data['Month'] = data.index.month
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data['DayOfMonth'] = data.index.day
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data['DaysInMonth'] = data.index.days_in_month
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data['DayOfYear'] = data.index.day_of_year
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data['DayOfWeek'] = data.index.dayofweek
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data['Week'] = data.index.isocalendar().week
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data['Is_weekend'] = np.where(data['DayOfWeek'] > 4, 1, 0)
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data['Is_month_start'] = data.index.is_month_start.astype(int)
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data['Is_month_end'] = data.index.is_month_end.astype(int)
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data['Quarter'] = data.index.quarter
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data['Is_quarter_start'] = data.index.is_quarter_start.astype(int)
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data['Is_quarter_end'] = data.index.is_quarter_end.astype(int)
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data['Is_year_start'] = data.index.is_year_start.astype(int)
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data['Is_year_end'] = data.index.is_year_end.astype(int)
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