65 lines
1.4 KiB
Plaintext
65 lines
1.4 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"include(\"../../utilities/dataset.jl\")\n",
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"using CSV, DataFrames\n",
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"\n",
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"baseDir = joinpath(\"../\", \"results/conditioning\")\n",
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"mkpath(baseDir);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"lambdas = 10. .^(-15:6)\n",
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"\n",
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"outputvsc = joinpath(baseDir, \"conditioning.csv\");\n",
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"accData = Dict(\n",
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" :lambda => Array{Float64}(undef, 0),\n",
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" :condnum => Array{Float64}(undef, 0),\n",
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" )\n",
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"\n",
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"for lambda in lambdas\n",
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" X_hat, _, _, _ = get_dataset(\"../data_for_testing/dataset.csv\", lambda)\n",
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" condnum = cond(X_hat)\n",
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" push!(accData[:lambda], lambda)\n",
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" push!(accData[:condnum], condnum)\n",
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"end\n",
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"\n",
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"df = DataFrame(accData)\n",
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"# CSV.write(outputvsc, df);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Julia 1.9.3",
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"language": "julia",
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"name": "julia-1.9"
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},
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"language_info": {
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"file_extension": ".jl",
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"mimetype": "application/julia",
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"name": "julia",
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"version": "1.9.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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