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better benchmark structure #228
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@time begin | ||
s = scale_ls!(X) | ||
Unfold.lsmr(X, @view(data[1, :]); log = true) | ||
end |
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[JuliaFormatter] reported by reviewdog 🐶
end | |
end |
SUITE["fit"]["lmm"] = | ||
@benchmarkable fit(UnfoldModel, $f1_lmm, $evts_epochs, $data_epochs, $times) | ||
@benchmarkable fit( | ||
UnfoldModel, | ||
$f1_lmm, | ||
$evts_multsub_epochs, | ||
$data_multsub_epochs, | ||
$times, | ||
) |
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[JuliaFormatter] reported by reviewdog 🐶
SUITE["fit"]["lmm"] = | |
@benchmarkable fit(UnfoldModel, $f1_lmm, $evts_epochs, $data_epochs, $times) | |
@benchmarkable fit( | |
UnfoldModel, | |
$f1_lmm, | |
$evts_multsub_epochs, | |
$data_multsub_epochs, | |
$times, | |
) | |
SUITE["fit"]["lmm"] = @benchmarkable fit( | |
UnfoldModel, | |
$f1_lmm, | |
$evts_multsub_epochs, | |
$data_multsub_epochs, | |
$times, | |
) |
end | ||
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df_to_md.([case_small, case_default, case_multichannel, case_large]) |
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[JuliaFormatter] reported by reviewdog 🐶
df_to_md.([case_small, case_default, case_multichannel, case_large]) | |
df_to_md.([case_small, case_default, case_multichannel, case_large]) |
R_xy = similar(data, size(X, 2)) | ||
return Ĥ, data, (Xt, R_xx, R_xy) | ||
end | ||
=# | ||
end |
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[JuliaFormatter] reported by reviewdog 🐶
end | |
end |
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end |
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[JuliaFormatter] reported by reviewdog 🐶
end | |
end |
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