Commit	Author	Details	Committed
db89360f0d94	pradovera	Bumped version to 2.4	Mar 15 2020
96ecdf6082c6	pradovera	Added nearest neighbor pivoted approximant.	Mar 15 2020
13e2c35912a3	pradovera	Improved robustness of marginal interpolator setup. Fixed issues with corrector…	Mar 15 2020
33af7adf601b	pradovera	Added 'None' option to marginal error estimator.	Mar 13 2020
4521b8240291	pradovera	Added mus to initialization of trainedModelData. Fixed evaluation of number of…	Mar 12 2020
746e7d73f320	pradovera	Added option to collapse projMat in trained model.	Mar 12 2020
97ecaa93f5bd	pradovera	Removed unused MLS.	Mar 12 2020
2809940ec5d1	pradovera	Tensorized computation of look_ahead error in rational greedy. Tensorized…	Mar 11 2020
ab7e05b69742	pradovera	Fixed pickling issues.	Mar 11 2020
c6bec368f78a	pradovera	Turned sparse grid class into sampling engine.	Mar 11 2020
ffa2f9f7a7f7	pradovera	Reduced dimensionality in computations involving rational approximant and…	Mar 11 2020
28fc31c3e363	pradovera	Added correct plotting for tensorized problems. Fixed getNewFilename bug.	Mar 10 2020
b5c1825487f4	pradovera	Remove unused output and state shift.	Mar 10 2020
47656af3b283	pradovera	Split pivoted approximants in no_match (without resonance matching) and…	Mar 10 2020
08f47005a74b	pradovera	Fixed issues with new nearest neighbor engine.	Mar 10 2020
3cacafea472f	pradovera	Added nearest neighbor fitter. Fixed buggy dot products in fitting.	Mar 7 2020
995621bf42fb	pradovera	Removed unused nearest neighbor from radial basis and mls.	Mar 7 2020

Changes (71)

		Path
M		VERSION
M		examples/5_anisotropic_square/anisotropic_square.py
M		examples/7_MHD/mhd_engine.py
M		rrompy/hfengines/base/__init__.py
M		rrompy/hfengines/base/fenics_engine_base.py
M		rrompy/hfengines/base/hfengine_base.py
M		rrompy/hfengines/base/linear_affine_engine.py
M		rrompy/hfengines/base/marginal_proxy_engine.py
M		rrompy/hfengines/base/numpy_engine_base.py
M		rrompy/hfengines/base/vector_fenics_engine_base.py
M		rrompy/parameter/__init__.py
V		rrompy/parameter/{local_sparse_grid.py → parameter_sampling/sparse_grid/sparse_grid_sampler.py}
M		rrompy/parameter/parameter_sampling/__init__.py
M		rrompy/parameter/parameter_sampling/generic_sampler.py
A	(dir)	rrompy/parameter/parameter_sampling/sparse_grid/
P		rrompy/parameter/parameter_sampling/sparse_grid/__init__.py Copied from rrompy/sampling/base/__init__.py
V		rrompy/parameter/{parameter_sampling/sparse_grid/sparse_grid_sampler.py ← local_sparse_grid.py}
P		rrompy/reduction_methods/__init__.py Copied to rrompy/reduction_methods/pivoted/__init__.py
M		rrompy/reduction_methods/base/generic_approximant.py
M		rrompy/reduction_methods/base/trained_model/trained_model.py
M		rrompy/reduction_methods/base/trained_model/trained_model_data.py
P		rrompy/reduction_methods/pivoted/__init__.py Copied from rrompy/reduction_methods/__init__.py
M		rrompy/reduction_methods/pivoted/generic_pivoted_approximant.py
M		rrompy/reduction_methods/pivoted/greedy/__init__.py
M		rrompy/reduction_methods/pivoted/greedy/generic_pivoted_greedy_approximant.py
M		rrompy/reduction_methods/pivoted/greedy/rational_interpolant_greedy_pivoted_greedy.py
M		rrompy/reduction_methods/pivoted/greedy/rational_interpolant_pivoted_greedy.py
M		rrompy/reduction_methods/pivoted/rational_interpolant_greedy_pivoted.py
M		rrompy/reduction_methods/pivoted/rational_interpolant_pivoted.py
D		rrompy/reduction_methods/pivoted/trained_model/trained_model_pivoted.py
M		rrompy/reduction_methods/pivoted/trained_model/trained_model_pivoted_data.py
A		rrompy/reduction_methods/pivoted/trained_model/trained_model_pivoted_rational.py
A		rrompy/reduction_methods/pivoted/trained_model/trained_model_pivoted_rational_nearest_neighbor.py
A		rrompy/reduction_methods/pivoted/trained_model/trained_model_pivoted_rational_nomatch.py
M		rrompy/reduction_methods/standard/__init__.py
M		rrompy/reduction_methods/standard/generic_standard_approximant.py
M		rrompy/reduction_methods/standard/greedy/generic_greedy_approximant.py
M		rrompy/reduction_methods/standard/greedy/rational_interpolant_greedy.py
M		rrompy/reduction_methods/standard/greedy/reduced_basis_greedy.py
M		rrompy/reduction_methods/standard/nearest_neighbor.py
M		rrompy/reduction_methods/standard/rational_interpolant.py
D		rrompy/reduction_methods/standard/rational_moving_least_squares.py
M		rrompy/reduction_methods/standard/rational_pade.py
M		rrompy/reduction_methods/standard/reduced_basis.py
M		rrompy/reduction_methods/standard/trained_model/trained_model_nearest_neighbor.py
M		rrompy/reduction_methods/standard/trained_model/trained_model_rational.py
D		rrompy/reduction_methods/standard/trained_model/trained_model_rational_mls.py
M		rrompy/reduction_methods/standard/trained_model/trained_model_reduced_basis.py
M		rrompy/sampling/pivoted/sampling_engine_pivoted.py
M		rrompy/sampling/standard/sampling_engine_standard.py
M		rrompy/utilities/base/data_structures.py
M		rrompy/utilities/poly_fitting/heaviside/val.py
D		rrompy/utilities/poly_fitting/moving_least_squares
D		rrompy/utilities/poly_fitting/moving_least_squares/__init__.py
D		rrompy/utilities/poly_fitting/moving_least_squares/base.py
D		rrompy/utilities/poly_fitting/moving_least_squares/kernel.py
D		rrompy/utilities/poly_fitting/moving_least_squares/moving_least_squares_interpolator.py
D		rrompy/utilities/poly_fitting/moving_least_squares/vander.py
A	(dir)	rrompy/utilities/poly_fitting/nearest_neighbor/
P		rrompy/utilities/poly_fitting/nearest_neighbor/__init__.py Copied from rrompy/utilities/base/__init__.py
A		rrompy/utilities/poly_fitting/nearest_neighbor/nearest_neighbor_interpolator.py
A		rrompy/utilities/poly_fitting/nearest_neighbor/val.py
M		rrompy/utilities/poly_fitting/radial_basis/__init__.py
M		rrompy/utilities/poly_fitting/radial_basis/base.py
M		rrompy/utilities/poly_fitting/radial_basis/kernel.py
M		rrompy/utilities/poly_fitting/radial_basis/radial_basis_interpolator.py
M		rrompy/utilities/poly_fitting/radial_basis/val.py
M		rrompy/utilities/poly_fitting/radial_basis/vander.py
M		setup.py
M		tests/reduction_methods_multiD/greedy_pivoted_rational_2d.py
A		tests/utilities/nearest_neighbor_fitting.py