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opencog-learn / learn-lang-diary / word-pairs-redux / cut.gplot

61 lines · gplot ref:

# set data style linespoints
# set data style points

#################################################
# Used to generate the comparison of cut/uncut distributions.
#
# set term postscript eps enhanced color 28
# set out 'cut-mi.eps'
# 
# # set term png
# # set out 'cut-mi.png'
# 
# set key font ",20"
# set yrange [1:1e6]
# set logscale y
# set format y "10^{%L}"
# set title "Distribution of Unique Word Pairs"
# set xlabel "Mutual Information"
# set ylabel "Bin-count"
# plot "full-fmi.dat" using 2:3 with lines linewidth 5 title "All Pairs", \
#      "cut-fmi.dat" using 2:3 with lines linewidth 5 title "Cut MI<1.8", \
#      "cut-recomp-fmi.dat" using 2:3 with lines linewidth 5 title "Recomputed cut"

#################################################
# Used to generate the comparison of cut/deep-cut/uncut distributions.
#
set term postscript eps enhanced color 28
set out 'deep-cut-mi.eps'

# set term png
# set out 'deep-cut-mi.png'

set key font ",20"
set yrange [1:1e6]
set logscale y
set format y "10^{%L}"
set title "Distribution of Unique Word Pairs"
set xlabel "Mutual Information"
set ylabel "Bin-count"
plot "full-fmi.dat" using 2:3 with lines linewidth 5 title "All Pairs", \
     "cut-recomp-fmi.dat" using 2:3 with lines linewidth 5 title "Shallow Cut", \
     "deep-recomp-fmi.dat" using 2:3 with lines linewidth 5 title "Deep Cut"

#################################################
# Used to generate the binned MI observations
#
set term postscript eps enhanced color 28
set out 'scatter-mi.eps'

# set term png
# set out 'scatter-tiny-mi.png'

set xrange [0:30]
set yrange [0:30]
set title "Correlation of Word Pair MI"
set xlabel "Full dataset MI"
set ylabel "Recomputed MI"
plot "scatter-tiny-fmi.dat" using 1:2 with points pointtype 5 pointsize 0.1 title "", \
     x-1.8 with lines linewidth 2 title ""