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#!/usr/bin/gnuplot
set term pngcairo size 1080,360*3
set output 'tests/network_accuracy.png'
set multiplot layout 3, 2
set grid
json2tsv = "jq -r '.[] | [.[]] | @tsv' %s"
train_cmd = "<./ml train %s -c %s"
predict_cmd = "<./ml predict %s -c %s | ".sprintf(json2tsv, "-")
# --
data_gauss1d = "data/gauss1d.json"
data_xor = "data/xor.json"
data_sine = "data/sine.json"
data_gauss2d = "data/gauss2d.json"
# --
arch_gauss1d = "tests/architectures/gauss1d.cfg"
arch_xor = "tests/architectures/xor.cfg"
arch_sine = "tests/architectures/sine.cfg"
arch_gauss2d = "tests/architectures/gauss2d.cfg"
set ylabel arch_gauss1d
set logscale x
plot sprintf(train_cmd, data_gauss1d, arch_gauss1d) u 2:4 with lines title 'loss'
unset logscale
unset ylabel
plot sprintf(predict_cmd, data_gauss1d, arch_gauss1d) with lines title 'network',\
"<".sprintf(json2tsv, data_gauss1d) with lines title 'original'
set ylabel arch_sine
set logscale x
plot sprintf(train_cmd, data_sine, arch_sine) u 2:4 with lines title 'loss'
unset logscale
unset ylabel
plot sprintf(predict_cmd, data_sine, arch_sine) with lines title 'network',\
"<".sprintf(json2tsv, data_sine) with lines title 'original'
set ylabel arch_gauss2d
set logscale x
plot sprintf(train_cmd, data_gauss2d, arch_gauss2d) u 2:4 with lines title 'loss'
unset logscale
unset ylabel
set view 45,30
splot "<".sprintf(json2tsv, data_gauss2d) using 1:2:3 with lines title 'network',\
sprintf(predict_cmd, data_gauss2d, arch_gauss2d) with lines title 'original'
unset multiplot
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