lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter Class Reference

Inheritance diagram for lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter:

Public Member Functions
def	__init__ (self, record)
def	setRangesFromQuantiles (self, lower, upper)
def	eval1d (self, dim, x)
def	eval2d (self, xDim, yDim, x, y)

Public Attributes
	samples
	values
	weights
	lower
	upper
	record
	pdf
	dimensions

Detailed Description

Definition at line 60 of file modelFitAdapters.py.

Constructor & Destructor Documentation

__init__()

def lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter.__init__	(		self,
			record
	)

Reimplemented from lsst.meas.modelfit.display.modelFitAdapters.ModelFitDataAdapter.

Definition at line 62 of file modelFitAdapters.py.

    def __init__(self, record):
        ModelFitDataAdapter.__init__(self, record)
        self.samples = record.getSamples().copy(deep=True)
        self.values = self.samples["parameters"]
        self.weights = self.samples["weight"]
        self.setRangesFromQuantiles(0.001, 0.999)
        assert self.values.shape[1] == len(self.dimensions)
 

Member Function Documentation

eval1d()

def lsst.meas.modelfit.display.modelFitAdapters.ModelFitDataAdapter.eval1d (   self,   dim,   x  )

inherited

Definition at line 37 of file modelFitAdapters.py.

    def eval1d(self, dim, x):
        i = self.dimensions.index(dim)
        z = numpy.zeros(x.shape, dtype=float)
        if i >= self.pdf.getDimension():
            return None
        projection = self.pdf.project(i)
        projection.evaluate(x.reshape(x.shape + (1,)), z)
        return z
 

eval2d()

def lsst.meas.modelfit.display.modelFitAdapters.ModelFitDataAdapter.eval2d (   self,   xDim,   yDim,   x,   y  )

inherited

Definition at line 46 of file modelFitAdapters.py.

    def eval2d(self, xDim, yDim, x, y):
        i = self.dimensions.index(yDim)
        j = self.dimensions.index(xDim)
        z = numpy.zeros(x.size, dtype=float)
        if i >= self.pdf.getDimension() or j >= self.pdf.getDimension():
            return None
        projection = self.pdf.project(j, i)
        xy = numpy.zeros((x.size, 2), dtype=float)
        xy[:, 0] = x.flatten()
        xy[:, 1] = y.flatten()
        projection.evaluate(xy, z)
        return z.reshape(x.shape)
 
 

setRangesFromQuantiles()

def lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter.setRangesFromQuantiles	(		self,
			lower,
			upper
	)

Definition at line 70 of file modelFitAdapters.py.

    def setRangesFromQuantiles(self, lower, upper):
        fractions = numpy.array([lower, upper], dtype=float)
        ranges = self.record.getInterpreter().computeParameterQuantiles(self.record, fractions)
        self.lower = {dim: ranges[i, 0] for i, dim in enumerate(self.dimensions)}
        self.upper = {dim: ranges[i, 1] for i, dim in enumerate(self.dimensions)}
 
 

Member Data Documentation

dimensions

lsst.meas.modelfit.display.modelFitAdapters.ModelFitDataAdapter.dimensions

inherited

Definition at line 35 of file modelFitAdapters.py.

lower

lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter.lower

Definition at line 73 of file modelFitAdapters.py.

pdf

lsst.meas.modelfit.display.modelFitAdapters.ModelFitDataAdapter.pdf

inherited

Definition at line 34 of file modelFitAdapters.py.

record

lsst.meas.modelfit.display.modelFitAdapters.ModelFitDataAdapter.record

inherited

Definition at line 33 of file modelFitAdapters.py.

samples

lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter.samples

Definition at line 64 of file modelFitAdapters.py.

upper

lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter.upper

Definition at line 74 of file modelFitAdapters.py.

values

lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter.values

Definition at line 65 of file modelFitAdapters.py.

weights

lsst.meas.modelfit.display.modelFitAdapters.SamplingDataAdapter.weights

Definition at line 66 of file modelFitAdapters.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/modelFitAdapters.py