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Ayush19112
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acf6f81
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ab7c265
Delete util.py
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util.py
DELETED
@@ -1,48 +0,0 @@
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import json
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import pickle
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import numpy as np
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__locations = None
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__data_columns = None
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__model = None
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def get_estimated_price(location, sqft, bhk, bath):
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try:
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loc_index = __data_columns.index(location.lower())
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except ValueError:
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loc_index = -1
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x = np.zeros(len(__data_columns))
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x[0] = sqft
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x[1] = bath
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x[2] = bhk
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if loc_index >= 0:
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x[loc_index] = 1
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return round(__model.predict([x])[0], 2)
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def get_location_names():
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return __locations
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def load_saved_artifacts():
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print("loading saved artifacts...start")
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global __data_columns
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global __locations
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global __model
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with open("./artifacts/columns.json", 'r') as f:
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__data_columns = json.load(f)['data_columns']
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__locations = __data_columns[2:]
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with open("./artifacts/banglore_home_prices_model.pickle", 'rb') as f:
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__model = pickle.load(f)
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print("loading saved artifacts...done")
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if __name__ == '__main__':
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load_saved_artifacts()
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print(get_location_names())
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print(get_estimated_price('1st Phase JP Nagar', 1000, 3, 3))
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