Parameter function for Beta instead of a scalar. Bug Fixes.

This commit is contained in:
rowanc1
2014-01-17 15:53:37 -08:00
parent 2eb074ba54
commit 18f0e67619
4 changed files with 62 additions and 85 deletions
+6 -65
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@@ -8,7 +8,6 @@ class BaseInversion(object):
__metaclass__ = Utils.Save.Savable
maxIter = 1 #: Maximum number of iterations
name = 'BaseInversion'
debug = False #: Print debugging information
@@ -16,11 +15,11 @@ class BaseInversion(object):
comment = '' #: Used by some functions to indicate what is going on in the algorithm
counter = None #: Set this to a SimPEG.Utils.Counter() if you want to count things
def __init__(self, dataObj, opt, **kwargs):
def __init__(self, objFunc, opt, **kwargs):
Utils.setKwargs(self, **kwargs)
self.dataObj = dataObj
self.dataObj.parent = self
self.objFunc = objFunc
self.objFunc.parent = self
self.opt = opt
self.opt.parent = self
@@ -36,7 +35,7 @@ class BaseInversion(object):
if not hasattr(opt, '_bfgsH0') and hasattr(opt, 'bfgsH0'): # Check if it has been set by the user and the default is not being used.
#TODO: I don't think that this if statement is working...
print 'Setting bfgsH0 to the inverse of the modelObj2Deriv. Done using direct methods.'
opt.bfgsH0 = SimPEG.Solver(reg.modelObj2Deriv())
opt.bfgsH0 = SimPEG.Solver(objFunc.reg.modelObj2Deriv())
@property
@@ -63,75 +62,17 @@ class BaseInversion(object):
Runs the inversion!
"""
self.startup(m0)
while True:
self.doStartIteration()
self.m = self.opt.minimize(self.evalFunction, self.m)
self.doEndIteration()
if self.stoppingCriteria(): break
self.printDone()
self.objFunc.startup(m0)
self.m = self.opt.minimize(self.objFunc.evalFunction, m0)
self.finish()
return self.m
@Utils.callHooks('startup')
def startup(self, m0):
"""
**startup** is called at the start of any new run call.
:param numpy.ndarray x0: initial x
:rtype: None
:return: None
"""
if not hasattr(self.reg, '_mref'):
print 'Regularization has not set mref. SimPEG will set it to m0.'
self.reg.mref = m0
self.m = m0
self._iter = 0
self._beta = None
self.phi_d_last = np.nan
self.phi_m_last = np.nan
@Utils.callHooks('doStartIteration')
def doStartIteration(self):
"""
**doStartIteration** is called at the end of each run iteration.
:rtype: None
:return: None
"""
self._beta = self.getBeta()
@Utils.callHooks('doEndIteration')
def doEndIteration(self):
"""
**doEndIteration** is called at the end of each run iteration.
:rtype: None
:return: None
"""
# store old values
self.phi_d_last = self.phi_d
self.phi_m_last = self.phi_m
self._iter += 1
def stoppingCriteria(self):
if self.debug: print 'checking stoppingCriteria'
return Utils.checkStoppers(self, self.stoppers)
def printDone(self):
"""
**printDone** is called at the end of the inversion routine.
"""
Utils.printStoppers(self, self.stoppers)
@Utils.callHooks('finish')
def finish(self):
"""finish()
+38 -16
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@@ -1,16 +1,16 @@
from SimPEG import Utils
from SimPEG import Utils, np, sp
class BaseObjFunction(object):
"""docstring for BaseObjFunction"""
__metaclass__ = Utils.Save.Savable
beta = None #: Regularization trade-off parameter
beta = None #: Regularization trade-off parameter
debug = False #: Print debugging information
counter = None #: Set this to a SimPEG.Utils.Counter() if you want to count things
name = 'BaseObjFunction' #: Name of the objective function
counter = None #: Set this to a SimPEG.Utils.Counter() if you want to count things
u_current = None #: The most current evaluated field
m_current = None #: The most current model
@@ -31,6 +31,24 @@ class BaseObjFunction(object):
self.data = data
self.reg = reg
@Utils.callHooks('startup')
def startup(self, m0):
"""startup(m0)
Called when inversion is first starting.
"""
if self.debug: print 'Calling ObjFunction.startup'
if not hasattr(self.reg, '_mref'):
print 'Regularization has not set mref. SimPEG will set it to m0.'
self.reg.mref = m0
self.phi_d = np.nan
self.phi_m = np.nan
self.m_current = m0
@Utils.timeIt
def evalFunction(self, m, return_g=True, return_H=True):
"""evalFunction(m, return_g=True, return_H=True)
@@ -42,15 +60,15 @@ class BaseObjFunction(object):
u = self.data.prob.field(m)
self.u_current = u
if self._iter is 0 and self._beta is None:
self._beta = self.beta0 = self.estimateBeta0(u=u,ratio=self.beta0_ratio)
phi_d = self.dataObj(m, u=u)
phi_m = self.reg.modelObj(m)
self.dpred = self.data.dpred(m, u=u) # This is a cheap matrix vector calculation.
self.phi_d = phi_d
self.phi_m = phi_m
self.phi_d, self.phi_d_last = phi_d, self.phi_d
self.phi_m, self.phi_m_last = phi_m, self.phi_m
self._beta = self.beta.get() #TODO: This needs to be fixed.
f = phi_d + self._beta * phi_m
@@ -195,25 +213,28 @@ class BetaSchedule(Utils.Parameter):
beta = None #: Beta parameter
def __init__(self, **kwargs):
def __init__(self, *args, **kwargs):
Utils.Parameter.__init__(self, *args, **kwargs)
Utils.setKwargs(self, **kwargs)
def initialize(self):
self.beta = self.beta0
@Utils.requires('parent')
def get(self):
def nextIter(self):
if self.beta is 'guess':
if self.debug: print 'BetaSchedule is estimating Beta0.'
self.beta = self.estimateBeta0()
invesion = self.parent.parent
if inversion._iter > 0 and inversion._iter % self.coolingRate == 0:
opt = self.parent.parent.opt
if opt._iter > 0 and opt._iter % self.coolingRate == 0:
if self.debug: print 'BetaSchedule is cooling Beta. Iteration: %d' % opt._iter
self.beta /= self.coolingFactor
return self.beta
@Utils.requires('parent')
def estimateBeta0(self, u=None):
def estimateBeta0(self):
"""estimateBeta0(u=None)
The initial beta is calculated by comparing the estimated
@@ -246,10 +267,11 @@ class BetaSchedule(Utils.Parameter):
:rtype: float
:return: beta0
"""
objFunc =
objFunc = self.parent
data = objFunc.data
m = invesion.m
m = objFunc.m_current
u = objFunc.u_current
if u is None:
u = data.prob.field(m)
+3 -3
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@@ -71,9 +71,9 @@ class IterationPrinters(object):
bSet = {"title": "bSet", "value": lambda M: np.sum(M.bindingSet(M.xc)), "width": 8, "format": "%d"}
comment = {"title": "Comment", "value": lambda M: M.comment, "width": 12, "format": "%s"}
beta = {"title": "beta", "value": lambda M: M.parent._beta, "width": 10, "format": "%1.2e"}
phi_d = {"title": "phi_d", "value": lambda M: M.parent.phi_d, "width": 10, "format": "%1.2e"}
phi_m = {"title": "phi_m", "value": lambda M: M.parent.phi_m, "width": 10, "format": "%1.2e"}
beta = {"title": "beta", "value": lambda M: M.parent.objFunc.beta.get(), "width": 10, "format": "%1.2e"}
phi_d = {"title": "phi_d", "value": lambda M: M.parent.objFunc.phi_d, "width": 10, "format": "%1.2e"}
phi_m = {"title": "phi_m", "value": lambda M: M.parent.objFunc.phi_m, "width": 10, "format": "%1.2e"}
class Minimize(object):
+15 -1
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@@ -270,7 +270,10 @@ def timeIt(f):
class Parameter(object):
"""Parameter"""
debug = False #: Print debugging information
debug = False #: Print debugging information
current = None #: This hold
currentIter = 0
def __init__(self, *args, **kwargs):
pass
@@ -285,10 +288,21 @@ class Parameter(object):
print 'Parameter has switched to a new parent!'
self._parent = p
@property
def opt(self):
return self.parent.parent.opt
def initialize(self):
pass
def get(self):
if (self.current is None or
not self.opt._iter == self.currentIter):
self.current = self.nextIter()
self.currentIter = self.opt._iter
return self.current
def nextIter(self):
raise NotImplementedError('Getting the Parameter is not yet implemented.')