vikram-s-narayan / gist:15352b020986a247da38a7c201d69dfe

Created December 13, 2022 03:28

Test of GEKPLS with First Datapoint Removed in Test Dataset Generated by GoldenSample from [email protected]

	# The purpose of this gist is to help pinpoint a potential bug in
	# QuasiMonteCarlo. This gist shows the working of the GEKPLS surrogate model
	# without the potential interferences from other Surrogates dependencies.
	# To run the gist and reproduce the results:
	# Run this gist with [email protected]; it can be seen that it produces
	# far better results without the first data point in the test dataset
	# Additional notes:
	# - Ensure that no other packages that depend on QuasiMonteCarlo are in your package environment
	# - [email protected] and [email protected] throw errors. More info for the cause can
	# be seen here - https://github.com/SciML/QuasiMonteCarlo.jl/releases/tag/v0.2.17

vikram-s-narayan / gekpls_quasi_tests.jl

Created December 6, 2022 12:55

Standalone GEKPLS to help pinpoint bug in QuasiMonteCarlo.jl

	# The purpose of this gist is to help pinpoint a potential bug in
	# QuasiMonteCarlo. This gist shows the working of the GEKPLS surrogate model
	# without the potential interferences from other Surrogates dependencies.
	# To run the gist and reproduce the results:
	# Run this gist with [email protected] => all tests pass (evidenced by 3 true prints)
	# Then run this gist with [email protected] => all tests fail in a fashion similar to
	# the failing tests of Surogates.jl - https://github.com/SciML/Surrogates.jl/pull/420
	# Additional notes:
	# - Ensure that no other packages that depend on QuasiMonteCarlo are in your package environment
	# - [email protected] and [email protected] throw errors. More info for the cause can

vikram-s-narayan / vikram-gsoc-report.md

Last active February 1, 2023 20:38

Final Report on GSoC 22 Improvements to Surrogates

Project Details:

Org: SciML-NumFOCUS

Contributor: Vikramaditya Narayan

Mentors: Chris Rackauckas and Ranjan Anantharaman

What Work Was Done:

vikram-s-narayan / modified_krg_based.py

Last active July 7, 2022 06:33

Gist to reproduce correlation anomaly between rmse and rlfv in SMT GEKPLS

	#Add this line below
	#above https://github.com/SMTorg/smt/blob/4a4df255b9259965439120091007f9852f41523e/smt/surrogate_models/krg_based.py#L1165
	#to try different theta values
	optimal_theta = np.array([0.0001, 0.0001])

	optimal_rlf_value, optimal_par = self._reduced_likelihood_function(
	theta=optimal_theta
	)

vikram-s-narayan / comparison_3_dimensions_juliacon.jl

Last active July 6, 2022 06:10

Comparison of GEKPLS on Welded Beam Test with Kriging, RBF and PolyChaos for JuliaCon 2022 Presentation

	using Surrogates
	using Zygote
	using SurrogatesPolyChaos
	using SurrogatesAbstractGPs
	using AbstractGPs

	function vector_of_tuples_to_matrix(v)
	#helper function to convert training data generated by surrogate sampling into a matrix suitable for GEKPLS
	num_rows = length(v)
	num_cols = length(first(v))

vikram-s-narayan / comparison_8_dimensions_juliacon.jl

Last active July 5, 2022 07:27

Comparison of GEKPLS on Water Flow Test with Kriging, RBF and PolyChaos for JuliaCon 2022 Presentation

	using Surrogates
	using Zygote
	using SurrogatesPolyChaos
	using SurrogatesAbstractGPs
	using AbstractGPs

	function vector_of_tuples_to_matrix(v)
	#helper function to convert training data generated by surrogate sampling into a matrix suitable for GEKPLS
	num_rows = length(v)
	num_cols = length(first(v))

vikram-s-narayan / gekpls_benchmarked.jl

Last active June 22, 2022 15:58

comparison of GEKPLS with RBF and Kriging

	using Surrogates
	using Zygote
	using SurrogatesPolyChaos

	function vector_of_tuples_to_matrix(v)
	#helper function to convert training data generated by surrogate sampling into a matrix suitable for GEKPLS
	num_rows = length(v)
	num_cols = length(first(v))
	K = zeros(num_rows, num_cols)
	for row in 1:num_rows

vikram-s-narayan / GEKPLS_V1.jl

Created May 26, 2022 13:36

First attempt at GEKPLS

	using Statistics
	using ScikitLearn
	using LinearAlgebra

	@sk_import cross_decomposition: PLSRegression

	####### START OF ALL FUNCTIONS ##########

	function _ge_compute_pls(X, y, n_comp, grads, delta_x, xlimits, extra_points)
	"""

vikram-s-narayan / Radials.jl

Last active February 27, 2022 03:58

	using LinearAlgebra
	using ExtendableSparse

	Base.copy(t::Tuple) = t

	mutable struct RadialBasis{F,Q,X,Y,L,U,C,S,D} <: AbstractSurrogate
	phi::F
	dim_poly::Q
	x::X
	y::Y

vikram-s-narayan / AD_compatibility_PROPOSED.jl

Last active January 20, 2022 07:06

Proposed file to replace test/AD_compatibility.jl in Surrogates.jl (https://github.com/SciML/Surrogates.jl/blob/master/test/AD_compatibility.jl)