def __init__(self, D, k:int=5, isSimilarityMatrix:bool=False):
self.log = Logging.ConsoleLogging()
if isinstance(D, np.memmap):
self.D = D
else:
self.D = IO.copy_D_or_load_memmap(D, writeable=False)
self.k = k
if isSimilarityMatrix:
self.d_self = -np.inf
self.sort_order = -1 # descending, interested in highest similarity
else:
self.d_self = np.inf
self.sort_order = 1 # ascending, interested in smallest distance
np.random.seed()
def __init__(self, D, isSimilarityMatrix=False):
"""
.. note:: Deprecated in hub-toolbox 2.3
Class will be removed in hub-toolbox 3.0.
Please use static functions instead.
"""
print(
"DEPRECATED: Please use the appropriate MutualProximity."
"mutual_proximity_DISTRIBUTIONTYPE() function instead.",
file=sys.stderr,
)
self.D = IO.copy_D_or_load_memmap(D, writeable=True)
self.log = Logging.ConsoleLogging()
if isSimilarityMatrix:
self.self_value = 1
else:
self.self_value = 0
self.isSimilarityMatrix = isSimilarityMatrix
def __init__(self, D, isSimilarityMatrix=False, missing_values=None, tmp='/tmp/'):
"""
.. note:: Deprecated in hub-toolbox 2.3
Class will be removed in hub-toolbox 3.0.
Please use static functions instead.
"""
print("DEPRECATED: Please use the appropriate MutualProximity_parallel."
"mutual_proximity_DISTRIBUTIONTYPE() function instead.",
file=sys.stderr)
self.D = IO.copy_D_or_load_memmap(D, writeable=True)
self.log = Logging.ConsoleLogging()
if isSimilarityMatrix:
self.self_value = 1
else:
self.self_value = 0
self.isSimilarityMatrix = isSimilarityMatrix
self.tmp = tmp
if missing_values is None:
if issparse(D):
self.mv = 0
else:
self.mv = None
else:
self.mv = missing_values
