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Diffstat (limited to 'data/combined/graphs/plots.py')
| -rwxr-xr-x | data/combined/graphs/plots.py | 60 |
1 files changed, 60 insertions, 0 deletions
diff --git a/data/combined/graphs/plots.py b/data/combined/graphs/plots.py new file mode 100755 index 0000000..4b32f92 --- /dev/null +++ b/data/combined/graphs/plots.py @@ -0,0 +1,60 @@ +#! /usr/bin/python + +import numpy as np +import matplotlib.pyplot as plt + +l = ["3","5","10","all"] + +#10-fold, naive +plt.cla() +for i in l: + x,y = np.loadtxt(i+"_nb_off.mat",unpack=True) + plt.plot(100*x,100*y,label="$n=$ "+i,linewidth=0.8) + plt.xlabel("Recall [%]") + plt.ylabel("Precision [%]") + plt.legend(loc="best") + plt.savefig("10fold-naive.pdf") + +#online,SHT +plt.cla() +for i in l: + x,y = np.loadtxt(i+"_sht_on.mat",unpack=True) + plt.plot(100*x,100*y,label="$n=$ "+i,linewidth=0.8,markersize=4) + plt.xlabel("Recall [%]") + plt.ylabel("Precision [%]") + plt.legend(loc="best") + plt.savefig("online-sht.pdf") + + +#face +plt.cla() +x,y = np.loadtxt("all_nb_off.mat",unpack=True) +a,b = np.loadtxt("face.csv",delimiter=",", unpack=True) +plt.plot(100*x,100*y,linewidth=0.8,label="Skeleton") +plt.plot(100*a,100*b,linewidth=0.8,label="Face") +plt.xlabel("Recall [%]") +plt.ylabel("Precision [%]") +plt.legend(loc="best") +plt.savefig("face.pdf") + +#back +plt.cla() +x,y = np.loadtxt("back_all_sht_on.mat",unpack=True) +a,b = np.loadtxt("all_sht_on.mat",unpack=True) +plt.plot(100*x,100*y,linewidth=0.8,label="Away") +plt.plot(100*a,100*b,linewidth=0.8,label="Toward") +plt.xlabel("Recall [%]") +plt.ylabel("Precision [%]") +plt.legend(loc="best") +plt.savefig("back.pdf") + +#variance-reduction +plt.cla() +x,y = np.loadtxt("half-var-all_sht_on.mat",unpack=True) +a,b = np.loadtxt("all_sht_on.mat",unpack=True) +plt.plot(100*x,100*y,linewidth=0.8,label="Reduced noise") +plt.plot(100*a,100*b,linewidth=0.8,label="Original noise") +plt.xlabel("Recall [%]") +plt.ylabel("Precision [%]") +plt.legend(loc="best") +plt.savefig("var.pdf") |
