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@@ -57,8 +57,10 @@ class deid :
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This function will perform experimentation by performing a random policies (combinations of attributes)
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This function is intended to explore a variety of policies and evaluate their associated risk.
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- @param pop|sample data-frame with popublation reference
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- @param id key field that uniquely identifies patient/customer ...
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+ :pop|sample data-frame with population or sample reference
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+ :field_count number of fields to randomly select
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+ :strict if set the field_count is exact otherwise field_count is range from 2-field_count
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+ :num_runs number of runs (by default 5)
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"""
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pop= args['pop'] if 'pop' in args else None
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@@ -85,7 +87,7 @@ class deid :
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o = pd.DataFrame()
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for i in np.arange(RUNS):
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- if 'strict' not in args :
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+ if 'strict' not in args or ('strict' in args and args['strict'] is False):
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n = np.random.randint(2,k)
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else:
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n = args['field_count']
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