Updated DistrModeler Class #1
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changed a few #ifndef macros in .h files to use different names from OSUFlow
Conflicts: CMakeLists.txt
First pull request for modeler
…array name to distr_array. Add at_comp_distr() in Dataset class
add the 1D histogram modeling and functions in histogram.h
modify a platform related issue
2. add python test in test.py
Add python wrapper to uni-variate distributions (hist, gaussian, gmm) and python test example
due to historical reasons, previously reader and writer were using global functions. now changed to object-oriented style, using classes for reader and writer
pyEdda for Visual Studio; IO classes
Add missing file (py_gaussian.h)
fit change of getNumComponenets()
some io code in test and vis are also changed, to fit the new way of io. many programs of eddaVis still do not work, which is due to not only io changes but also data structure changes too.
try to resolve the extra qualification issue
try to resolve the extra qualification issue - complementary
…sponding test code
Add EddaComputeGaussian and test_JointGaussian.cpop
seperate pyEdda's uni-distribution test code
1. change the way to initialization (directly random on resposibility matrix) 2. use Cholescky decomposition instead of Eigen decomposition for prob estimation and sampling 3. add a new test case. Four variable. Some varialbes has tiny data range, some have very wide data range.
improve the jointGMM and add new test case.
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A new DistrModeler Class Has been created, current reads ensemble data from .nc files. Also Soumya's estimate_gmm.h is included.