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| author | jvech <jmvalenciae@unal.edu.co> | 2024-08-06 14:29:42 -0500 |
|---|---|---|
| committer | jvech <jmvalenciae@unal.edu.co> | 2024-08-06 14:29:42 -0500 |
| commit | ebd66e65bf18574fa8905d7b0ae3fbb85bfc9e06 (patch) | |
| tree | da128cfa54b20abbff670c89278f0005b0f128cb /tests/plots.gpi | |
| parent | ce0001538820d819bf965a24ffbb6f6e6269859c (diff) | |
add: file parsing improved
Things implemented:
* json_read() must die if the key does not exist or the value type is wrong.
* on predict command input should be shown exactly the same
* float precision CLI option should be added.
Diffstat (limited to 'tests/plots.gpi')
| -rw-r--r-- | tests/plots.gpi | 27 |
1 files changed, 16 insertions, 11 deletions
diff --git a/tests/plots.gpi b/tests/plots.gpi index 4fd11b0..2101520 100644 --- a/tests/plots.gpi +++ b/tests/plots.gpi @@ -1,7 +1,7 @@ #!/usr/bin/gnuplot -set term pngcairo size 1080,720 +set term pngcairo size 1080,360*3 set output 'tests/network_accuracy.png' -set multiplot layout 2, 2 +set multiplot layout 3, 2 set grid json2tsv = "jq -r '.[] | [.[]] | @tsv' %s" @@ -12,11 +12,13 @@ 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 @@ -28,15 +30,6 @@ 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_xor -#set logscale x -#plot sprintf(train_cmd, data_xor, arch_xor) u 2:4 with lines title 'loss' -#unset logscale -#unset ylabel -# -#set table "/dev/stdout" -#plot "<".sprintf(json2tsv, data_xor) using 1:2:3 with table,\ -# sprintf(predict_cmd, data_xor, arch_xor) using 3 with table set ylabel arch_sine set logscale x @@ -46,3 +39,15 @@ 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 |