def __init__(self, prepared_statement, *args, **kwargs):
        self.prepared_statement = prepared_statement

        self.consistency_level = prepared_statement.consistency_level
        self.serial_consistency_level = prepared_statement.serial_consistency_level
        self.fetch_size = prepared_statement.fetch_size
        self.custom_payload = prepared_statement.custom_payload
        self.values = []

        meta = prepared_statement.column_metadata
        if meta:
            self.keyspace = meta[0].keyspace_name

        Statement.__init__(self, *args, **kwargs)
Fit the Kernel Density model on the data.
dataset/ETHPy150Open datastax/python-driver/cassandra/query.py/BoundStatement.__init__--crossover with--dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/neighbors/kde.py/KernelDensity.fit