num_cores
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num_cores is Adjust based on your system's capabilities.
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ctx:claims/beam/1c4871a0-44bd-488f-a027-7e91230cbb93- full textbeam-chunktext/plain1 KB
doc:beam/1c4871a0-44bd-488f-a027-7e91230cbb93Show excerpt
# Implement secure tuning logic here # Example: Check if a condition is met compliant = row['some_column'] > 0 # Replace with actual logic return compliant # Apply secure tuning to datasets using parallel processing num_co…
ctx:claims/beam/4f3f0e67-2593-4f7f-9625-25393b3512e1- full textbeam-chunktext/plain1 KB
doc:beam/4f3f0e67-2593-4f7f-9625-25393b3512e1Show excerpt
# Convert columns to appropriate data types datasets['some_column'] = pd.to_numeric(datasets['some_column'], errors='coerce') # Define secure tuning function def secure_tuning(row): # Implement secure tuning logic here # Example: C…
ctx:claims/beam/64905869-24bb-45f8-b86a-4196d76ab3c4
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