89 lines
3.3 KiB
Python
89 lines
3.3 KiB
Python
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# Load libraries ---------------------------------------------
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from collections import defaultdict
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import numpy as np
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# ------------------------------------------------------------
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class DatasetSpecification(object):
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def __init__(self):
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pass
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# ################
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# Original dataset functions
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# ################
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def get_sum_columns(self):
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return ["n_people", "n_children_1", "n_children_2", "n_children_3", "accomodation_price", "meal_price",
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"service_price", "paid", "n_rooms"]
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def get_mean_columns(self):
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return ['discount']
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def get_mode_columns(self):
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return ["room_id", "room_group_id", "date_from", "date_to", "booking_date", "rate_plan",
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"length_of_stay", "book_to_arrival", "weekend_stay"]
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def get_first_columns(self):
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return ["user_id", "client_id", "client_name", "email", "phone", "is_company"]
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def get_id_columns(self):
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return ["client_id", "client_name", "email", "phone"]
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# ################
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# Output dataset functions
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# ################
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def get_people_df_id_columns(self):
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return ['user_id']
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def get_people_df_feature_columns(self):
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return []
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def get_items_df_id_columns(self):
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return ['item_id']
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def get_items_df_feature_columns(self):
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return ['term', 'length_of_stay_bucket', 'rate_plan', 'room_segment', 'n_people_bucket', 'weekend_stay']
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def get_purchases_df_id_columns(self):
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return ['user_id', 'item_id']
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def get_purchases_df_feature_columns(self):
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return []
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# ################
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# Mapping functions
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# ################
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def get_nights_buckets(self):
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return [[0, 1], [2, 3], [4, 7], [8, np.inf]]
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def get_npeople_buckets(self):
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return [[1, 1], [2, 2], [3, 4], [5, np.inf]]
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def get_room_segment_buckets(self):
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return [[0, 160], [160, 260], [260, 360], [360, 500], [500, 900], [900, np.inf]]
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def get_book_to_arrival_buckets(self):
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return [[0, 0], [1, 2], [3, 4], [5, 7], [8, 14], [15, 30], [31, 60], [61, 90], [91, 180], [181, np.inf]]
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def get_arrival_terms(self):
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arrival_terms = {"Easter": [{"start": {"m": np.nan, "d": np.nan}, "end": {"m": np.nan, "d": np.nan}}],
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# Treated with priority
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"Christmas": [{"start": {"m": 12, "d": 22}, "end": {"m": 12, "d": 27}}],
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"NewYear": [{"start": {"m": 12, "d": 28}, "end": {"m": 1, "d": 4}}],
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"WinterVacation": [{"start": {"m": 1, "d": 5}, "end": {"m": 2, "d": 29}}],
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"OffSeason": [
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{"start": {"m": 3, "d": 1}, "end": {"m": 4, "d": 27}},
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{"start": {"m": 5, "d": 6}, "end": {"m": 6, "d": 20}},
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{"start": {"m": 9, "d": 26}, "end": {"m": 12, "d": 21}}],
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"MayLongWeekend": [{"start": {"m": 4, "d": 28}, "end": {"m": 5, "d": 5}}],
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"LowSeason": [
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{"start": {"m": 6, "d": 21}, "end": {"m": 7, "d": 10}},
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{"start": {"m": 8, "d": 23}, "end": {"m": 9, "d": 25}}],
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"HighSeason": [{"start": {"m": 7, "d": 11}, "end": {"m": 8, "d": 22}}]}
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return arrival_terms
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