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enabled some more getting/setting parameters, such as regular expressions and params

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This commit is contained in:
Max Zwiessele 2014-04-15 16:06:40 +01:00
parent 01c795ae10
commit 333e24a1c3
5 changed files with 70 additions and 12 deletions
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50
GPy/core/parameterization/param.py
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@ -3,6 +3,7 @@
import itertools
import numpy
np = numpy
from parameter_core import OptimizationHandlable, adjust_name_for_printing
from observable_array import ObsAr
@ -118,10 +119,6 @@ class Param(OptimizationHandlable, ObsAr):
except AttributeError: pass # returning 0d array or float, double etc
return new_arr
def __setitem__(self, s, val):
super(Param, self).__setitem__(s, val)
def _raveled_index(self, slice_index=None):
# return an index array on the raveled array, which is formed by the current_slice
# of this object
@ -311,15 +308,15 @@ class ParamConcatenation(object):
#===========================================================================
def __getitem__(self, s):
ind = numpy.zeros(sum(self._param_sizes), dtype=bool); ind[s] = True;
params = [p.param_array[ind[ps]] for p,ps in zip(self.params, self._param_slices_) if numpy.any(p.param_array[ind[ps]])]
params = [p.param_array.flat[ind[ps]] for p,ps in zip(self.params, self._param_slices_) if numpy.any(p.param_array.flat[ind[ps]])]
if len(params)==1: return params[0]
return ParamConcatenation(params)
def __setitem__(self, s, val, update=True):
if isinstance(val, ParamConcatenation):
val = val.values()
ind = numpy.zeros(sum(self._param_sizes), dtype=bool); ind[s] = True;
vals = self.values(); vals[s] = val; del val
[numpy.place(p, ind[ps], vals[ps])
vals = self.values(); vals[s] = val
[numpy.copyto(p, vals[ps], where=ind[ps])
for p, ps in zip(self.params, self._param_slices_)]
if update:
self.update_all_params()
@ -411,3 +408,42 @@ class ParamConcatenation(object):
return "\n".join(strings)
def __repr__(self):
return "\n".join(map(repr,self.params))
def __ilshift__(self, *args, **kwargs):
self[:] = np.ndarray.__ilshift__(self.values(), *args, **kwargs)
def __irshift__(self, *args, **kwargs):
self[:] = np.ndarray.__irshift__(self.values(), *args, **kwargs)
def __ixor__(self, *args, **kwargs):
self[:] = np.ndarray.__ixor__(self.values(), *args, **kwargs)
def __ipow__(self, *args, **kwargs):
self[:] = np.ndarray.__ipow__(self.values(), *args, **kwargs)
def __ifloordiv__(self, *args, **kwargs):
self[:] = np.ndarray.__ifloordiv__(self.values(), *args, **kwargs)
def __isub__(self, *args, **kwargs):
self[:] = np.ndarray.__isub__(self.values(), *args, **kwargs)
def __ior__(self, *args, **kwargs):
self[:] = np.ndarray.__ior__(self.values(), *args, **kwargs)
def __itruediv__(self, *args, **kwargs):
self[:] = np.ndarray.__itruediv__(self.values(), *args, **kwargs)
def __idiv__(self, *args, **kwargs):
self[:] = np.ndarray.__idiv__(self.values(), *args, **kwargs)
def __iand__(self, *args, **kwargs):
self[:] = np.ndarray.__iand__(self.values(), *args, **kwargs)
def __imod__(self, *args, **kwargs):
self[:] = np.ndarray.__imod__(self.values(), *args, **kwargs)
def __iadd__(self, *args, **kwargs):
self[:] = np.ndarray.__iadd__(self.values(), *args, **kwargs)
def __imul__(self, *args, **kwargs):
self[:] = np.ndarray.__imul__(self.values(), *args, **kwargs)