def tojava(cls, dataholder):
"""
Make a java data holder
"""
jdh = _jdataholder()
for k, v in dataholder.items():
if k != "metadata":
v = _jinput(v)
jdh.addDataset(k, v)
if "metadata" in dataholder:
md = dict()
for k, v in dataholder.metadata.items():
v = _jinput(v)
md[k] = v
jdh.setMetadata(_Metadata(md))
return jdh
def tojava(cls, dataholder):
'''
Make a java data holder
'''
jdh = _jdataholder()
for k, v in dataholder.items():
if k != "metadata":
v = _jinput(v)
jdh.addDataset(k, v)
if "metadata" in dataholder:
md = dict()
for k, v in dataholder.metadata.items():
v = _jinput(v)
md[k] = v
jdh.setMetadata(_Metadata(md))
return jdh
def tojava(cls, dataholder):
'''
Make a java data holder
'''
jdh = _jdataholder()
for k,v in dataholder.items():
if k != 'metadata':
v = _jinput(v)
jdh.addDataset(k, v)
if 'metadata' in dataholder:
md = dict()
for k, v in dataholder.metadata.items():
v = _jinput(v)
md[k] = v
jdh.setMetadata(_Metadata(md))
return jdh
def tojava(cls, dataholder):
'''
Make a java data holder
'''
jdh = _jdataholder()
for k,v in dataholder.items():
if k != "metadata":
v = _jinput(v)
if v is not None: # no lazy arrays supported yet
jdh.addDataset(k, v)
if "metadata" in dataholder:
md = dict()
for k, v in dataholder.metadata.items():
v = _jinput(v)
md[k] = v
jdh.setMetadata(_Metadata(md))
return jdh
def tojava(cls, dataholder):
'''
Make a java data holder
'''
jdh = _jdataholder()
for k, v in dataholder.items():
if k != "metadata":
v = _jinput(v)
if v is not None: # no lazy arrays supported yet
jdh.addDataset(k, v)
if "metadata" in dataholder:
md = dict()
for k, v in dataholder.metadata.items():
v = _jinput(v)
md[k] = v
jdh.setMetadata(_Metadata(md))
return jdh
def cond(a, order=None):
'''Condition number
x -- input array
ord -- None = 2-norm computed directly using SVD
'fro' = Frobenius norm
inf = max(sum(abs(x),axis=1))
-inf = min(sum(abs(x),axis=1))
0 = n/a | sum(x != 0)
1 = max(sum(abs(x),axis=0))
-1 = min(sum(abs(x),axis=0))
2 = 2-norm (largest s.v.)
-2 = smallest singular value
other = n/a
Return norm
'''
if order is None:
try:
return _linalg.calcConditionNumber(_jinput(a))
except Exception, e:
raise LinAlgError(e)
def cond(a, order=None):
'''Condition number
x -- input array
ord -- None = 2-norm computed directly using SVD
'fro' = Frobenius norm
inf = max(sum(abs(x),axis=1))
-inf = min(sum(abs(x),axis=1))
0 = n/a | sum(x != 0)
1 = max(sum(abs(x),axis=0))
-1 = min(sum(abs(x),axis=0))
2 = 2-norm (largest s.v.)
-2 = smallest singular value
other = n/a
Return norm
'''
if order is None:
try:
return _linalg.calcConditionNumber(_jinput(a))
except Exception, e:
raise LinAlgError(e)
