Get list of values associated with a key Returns empty list ([]) if `key` is not found

Update this MinHash with a new value. The value will be hashed using the hash function specified by the `hashfunc` argument in the con

Add a new item to the index. Parameters ---------- input_id : str The id that will identify the input it

Return an iterator on keys in storage

Load the Python object from the given path. Parameters ---------- object_path : str The path where the object is saved.

Save the given Python object to the given path. Parameters ---------- obj : Any Any *picklable* Python object. object_pa

Read the table data into a pandas DataFrame. Parameters ---------- table_name : str The table name.

Create a MinHash which is the union of the MinHash objects passed as arguments. Args: *mhs: The MinHash objects to be united. The

Estimate the cardinality count based on the technique described in `this paper <http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=365694>`_.

Generate a collection of format descriptors denoting all the formats available in the input. Parameters ---------- in

给出一个集合的键、MinHashes和大小的索引。 Args: entries (`iterable` of `tuple`): 需要格式为 `(key, minhash, size)`， 其中key是一个集

Insert a key to the index, together with a MinHash (or weighted MinHash) of the set referenced by the key. :param st

Remove `keys` from storage

Perform table-level top-k nearest neighbour search over the configured LSH backends. Note that this functions assumes that the table

Check if a given column contains only numeric values. Parameters ---------- values : Iterable[Any] A collection of values.

Search for the nearest neighbours of the given query. Parameters ---------- query_id : Optional[str] The

:returns: datasketch.MinHash -- A copy of this MinHash by exporting its state.

Giving the MinHash of the query set, retrieve the keys that reference sets with Jaccard similarities likely greater than the

把另一lshensemble的值合并过来 Args: lshE 待加的lsh索引

Update this MinHash with new values. The values will be hashed using the hash function specified by the `hashfunc` argument in the con

Retrieve all the table names existing under the given root. Parameters ---------- schema_name : Optional[str]

Select all values for the given keys. :param iterable[byte|str] keys: the keys :rtype: dict[byte|str,list[byte|s

把另一lshensemble的值合并过来 Args: lshE 待加的lsh索引

Parameters ---------- dataloader : DataLoader A DataLoader object used to read the data. data_root : str

Execute a list of statements and parameters NOT returning data. :param iterable[tuple] statements_and_parameters: list of st

Buffer (and execute) statements and parameters NOT returning data. :param iterable[tuple] statements_and_parameters: list of

:param data:数据集 :param k:需要选择的离群点数量 :param c:候选备胎 :return:

This method creates a new SQLAlchemy engine useful to create database connections. Returns ------- sqlalchemy.engine

Search for the nearest neighbours of the given query. Parameters ---------- query : str A string to sea

Execute a list of statements and parameters returning data. :param iterable[tuple] statements_and_parameters: list of statem

Estimate the `Jaccard similarity`_ (resemblance) between the sets represented by this MinHash and the other. Args: other

Generate multi-word tokens delimited by punctuation. Parameters ---------- value : str The value to shingle.

Return size of storage with respect to number of keys

Create a new generator of hash values. Parameters ---------- hash_size : int The size of the resulting h

Reconstruct the hash back from the index keys. This should be used only if the index keys originate from hash hashcode. Para

Transform a given hashcode into a collection of index keys. Parameters ---------- input_hash : List[int]

Query keys and add them to internal buffer