def similarity(self,
M_c,
X_L_list,
X_D_list,
given_row_id,
target_row_id,
target_columns=None):
"""Computes the similarity of the given row to the target row, averaged over all the
column indexes given by target_columns.
:param M_c: The column metadata
:type M_c: dict
:param X_L: list of the latent variables associated with the latent state
:type X_L: list of dicts
:param X_D: list of the particular cluster assignments of each row in each view
:type X_D: list of list of lists
:param given_row_id: the id of one of the rows to measure similarity between
:type given_row_id: int
:param target_row_id: the id of the other row to measure similarity between
:type target_row_id: int
:param target_columns: the columns to average the similarity over. defaults to all columns.
:type target_columns: int, string, or list of ints
:returns: float
"""
return su.similarity(M_c, X_L_list, X_D_list, given_row_id,
target_row_id, target_columns)
def similarity(self, M_c, X_L_list, X_D_list, given_row_id, target_row_id, target_columns=None):
"""Computes the similarity of the given row to the target row, averaged over all the
column indexes given by target_columns.
:param M_c: The column metadata
:type M_c: dict
:param X_L: list of the latent variables associated with the latent state
:type X_L: list of dicts
:param X_D: list of the particular cluster assignments of each row in each view
:type X_D: list of list of lists
:param given_row_id: the id of one of the rows to measure similarity between
:type given_row_id: int
:param target_row_id: the id of the other row to measure similarity between
:type target_row_id: int
:param target_columns: the columns to average the similarity over. defaults to all columns.
:type target_columns: int, string, or list of ints
:returns: float
"""
return su.similarity(M_c, X_L_list, X_D_list, given_row_id, target_row_id, target_columns)
def similarity(
self, M_c, X_L_list, X_D_list, given_row_id, target_row_id,
target_columns=None):
"""Computes the similarity of the given row to the target row,
averaged over all the column indexes given by target_columns.
:param given_row_id: the id of one of the rows to measure similarity
between
:type given_row_id: int
:param target_row_id: the id of the other row to measure similarity
between
:type target_row_id: int
:param target_columns: the columns to average the similarity over.
Defaults to all columns.
:type target_columns: int, string, or list of ints
:returns: float
"""
return su.similarity(
M_c, X_L_list, X_D_list, given_row_id,
target_row_id, target_columns)
