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

Public Member Functions
def	__init__ (self, history, model, objective, steps=11)
def	plot (self, xDim, yDim, n=0)

Public Attributes
	recorder
	dimensions
	ndim
	track
	objective
	unitGrid

Detailed Description

Definition at line 71 of file optimizerDisplay.py.

Constructor & Destructor Documentation

__init__()

def lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.__init__	(		self,
			history,
			model,
			objective,
			steps = 11
	)

Definition at line 73 of file optimizerDisplay.py.

    def __init__(self, history, model, objective, steps=11):
        self.recorder = modelfitLib.OptimizerHistoryRecorder(history.schema)
        # len(dimensions) == N in comments below
        self.dimensions = list(model.getNonlinearNames()) + list(model.getAmplitudeNames())
        self.ndim = len(self.dimensions)
        self.track = []
        self.objective = objective
        # This creates a array with shape [steps, ..., steps, N] (a total of N+1 array dimensions):
        # this is an N-dimensional grid, with the last dimension of the grid array giving the coordinates
        # of each grid point.
        # We slice mgrid to generate the basic grid, which is [N, steps, ..., steps]
        mgridArgs = (slice(-1.0, 1.0, steps*1j),) * self.ndim
        # We'll index the result of mgrid with these args to make first dimension last
        transposeArgs = tuple(list(range(1, self.ndim+1)) + [0])
        self.unitGrid = numpy.mgrid[mgridArgs].transpose(transposeArgs).copy()
        current = None
        for sample in history:
            if sample.get(self.recorder.state) & modelfitLib.Optimizer.STATUS_STEP_REJECTED:
                assert current is not None
                current.rejected.append(sample)
                continue
            current = OptimizerIterationDisplay(self, sample)
            self.track.append(current)
 

Member Function Documentation

plot()

def lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.plot	(		self,
			xDim,
			yDim,
			n = 0
	)

Definition at line 97 of file optimizerDisplay.py.

    def plot(self, xDim, yDim, n=0):
        return OptimizerDisplayFigure(self, xDim=xDim, yDim=yDim, n=n)
 
 

Member Data Documentation

dimensions

lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.dimensions

Definition at line 76 of file optimizerDisplay.py.

ndim

lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.ndim

Definition at line 77 of file optimizerDisplay.py.

objective

lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.objective

Definition at line 79 of file optimizerDisplay.py.

recorder

lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.recorder

Definition at line 74 of file optimizerDisplay.py.

track

lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.track

Definition at line 78 of file optimizerDisplay.py.

unitGrid

lsst.meas.modelfit.display.optimizerDisplay.OptimizerDisplay.unitGrid

Definition at line 87 of file optimizerDisplay.py.

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

• /j/snowflake/release/lsstsw/stack/lsst-scipipe-0.7.0/Linux64/meas_modelfit/22.0.1-4-g44f2e3d+9e4ab0f4fa/python/lsst/meas/modelfit/display/optimizerDisplay.py