26 lines
777 B
Python
26 lines
777 B
Python
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import logging
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import numpy as np
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
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)
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logger = logging.getLogger(__name__)
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def post_processing(df):
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try:
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df['hd_score_m1'] = np.round(
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np.minimum(df['prediction'] * 100 + 0.00001, 1) * 85 +
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np.maximum(np.log2(df['prediction'] * 100 + 0.000001) * 185, 0),
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0
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)
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logging.info(f"hd_score_m1 calculated: {df['hd_score_m1'].iloc[0]}")
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except Exception as e:
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logging.error(f"Error processing hd_score_m1 calculations: {e}")
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return df[['application_key', 'application_timestamp', 'deviceid', 'fuzzydeviceid', 'application_email_address', 'hd_score_m1']].iloc[0].to_dict()
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