Update apyori.py

Part 5 - Association Rule Learning/Section 28 - Apriori/Apriori_Python/apyori.py

@@ -371,71 +371,3 @@ def load_transactions(input_file, **kwargs):
     delimiter = kwargs.get('delimiter', '\t')
     for transaction in csv.reader(input_file, delimiter=delimiter):
         yield transaction if transaction else ['']
-
-
-def dump_as_json(record, output_file):
-    """
-    Dump an relation record as a json value.
-
-    Arguments:
-        record -- A RelationRecord instance to dump.
-        output_file -- A file to output.
-    """
-    def default_func(value):
-        """
-        Default conversion for JSON value.
-        """
-        if isinstance(value, frozenset):
-            return sorted(value)
-        raise TypeError(repr(value) + " is not JSON serializable")
-
-    converted_record = record._replace(
-        ordered_statistics=[x._asdict() for x in record.ordered_statistics])
-    json.dump(
-        converted_record._asdict(), output_file,
-        default=default_func, ensure_ascii=False)
-    output_file.write(os.linesep)
-
-
-def dump_as_two_item_tsv(record, output_file):
-    """
-    Dump a relation record as TSV only for 2 item relations.
-
-    Arguments:
-        record -- A RelationRecord instance to dump.
-        output_file -- A file to output.
-    """
-    for ordered_stats in record.ordered_statistics:
-        if len(ordered_stats.items_base) != 1:
-            continue
-        if len(ordered_stats.items_add) != 1:
-            continue
-        output_file.write('{0}\t{1}\t{2:.8f}\t{3:.8f}\t{4:.8f}{5}'.format(
-            list(ordered_stats.items_base)[0], list(ordered_stats.items_add)[0],
-            record.support, ordered_stats.confidence, ordered_stats.lift,
-            os.linesep))
-
-
-def main(**kwargs):
-    """
-    Executes Apriori algorithm and print its result.
-    """
-    # For tests.
-    _parse_args = kwargs.get('_parse_args', parse_args)
-    _load_transactions = kwargs.get('_load_transactions', load_transactions)
-    _apriori = kwargs.get('_apriori', apriori)
-
-    args = _parse_args(sys.argv[1:])
-    transactions = _load_transactions(
-        chain(*args.input), delimiter=args.delimiter)
-    result = _apriori(
-        transactions,
-        max_length=args.max_length,
-        min_support=args.min_support,
-        min_confidence=args.min_confidence)
-    for record in result:
-        args.output_func(record, args.output)
-
-
-if __name__ == '__main__':
-    main()