lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay Class Reference

Public Member Functions
def	__init__ (self, parent, sample)
def	__getattr__ (self, name)
def	objectiveValues (self)
def	objectiveModel (self)

Public Attributes
	parent
	sample
	grid
	rejected

Detailed Description

Definition at line 34 of file optimizerDisplay.py.

Constructor & Destructor Documentation

__init__()

def lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.__init__	(		self,
			parent,
			sample
	)

Definition at line 36 of file optimizerDisplay.py.

    def __init__(self, parent, sample):
        self.parent = parent
        self.sample = sample
        # scale unit grid by trust radius
        self.grid = parent.unitGrid * sample.get(parent.recorder.trust)
        # offset grid to center it on the current parameter point
        self.grid += sample.get(parent.recorder.parameters).reshape((1,)*parent.ndim + (parent.ndim,))
        self._objectiveValues = None
        self._objectiveModel = None
        self.rejected = []

Member Function Documentation

__getattr__()

def lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.__getattr__	(		self,
			name
	)

Definition at line 47 of file optimizerDisplay.py.

    def __getattr__(self, name):
        # look for keys on the recorder and lookup fields for unknown attributes
        return self.sample.get(getattr(self.parent.recorder, name))

objectiveModel()

def lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.objectiveModel

(

self

)

Definition at line 62 of file optimizerDisplay.py.

    def objectiveModel(self):
        if self._objectiveModel is None:
            self._objectiveModel = numpy.zeros(self.grid.shape[:-1], dtype=float)
            self.parent.recorder.fillObjectiveModelGrid(self.sample,
                                                        self.grid.reshape(-1, self.parent.ndim),
                                                        self._objectiveModel.reshape(-1))
        return self._objectiveModel

objectiveValues()

def lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.objectiveValues

(

self

)

Definition at line 52 of file optimizerDisplay.py.

    def objectiveValues(self):
        if self._objectiveValues is None:
            self._objectiveValues = numpy.zeros(self.grid.shape[:-1], dtype=float)
            self.parent.objective.fillObjectiveValueGrid(self.grid.reshape(-1, self.parent.ndim),
                                                         self._objectiveValues.reshape(-1))
            good = numpy.isfinite(self._objectiveValues)
            self._objectiveValues[numpy.logical_not(good)] = self._objectiveValues[good].max()
        return self._objectiveValues

Member Data Documentation

grid

lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.grid

Definition at line 40 of file optimizerDisplay.py.

parent

lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.parent

Definition at line 37 of file optimizerDisplay.py.

rejected

lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.rejected

Definition at line 45 of file optimizerDisplay.py.

sample

lsst.meas.modelfit.display.optimizerDisplay.OptimizerIterationDisplay.sample

Definition at line 38 of file optimizerDisplay.py.

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The documentation for this class was generated from the following file:

• /j/snowflake/release/lsstsw/stack/Linux64/meas_modelfit/17.0.1-3-g7e86b59+39/python/lsst/meas/modelfit/display/optimizerDisplay.py