def Builder(error=False,
cv=False,
accuracy=False,
name='./GraphBuilder_default_name.png',
legend_on=True,
Xlabel='epochs',
Ylabel='Error',
Title='Error vs epochs',
**kwargs):
#Colors
Colors = ['c', 'm', 'y', 'k', colors.cnames['darkseagreen'], colors.cnames['darkslateblue'], colors.cnames['darkslategray'],
colors.cnames['darkturquoise'], colors.cnames['darkviolet'], colors.cnames['deeppink'],
colors.cnames['deepskyblue'], colors.cnames['dimgray']]
color_idx = 0
#Add declared dict
allDicts = dict()
allDicts['error'] = error
allDicts['cv'] = cv
allDicts['accuracy'] = accuracy
#Add kwargs
for k in kwargs.keys():
allDicts[k] = kwargs[k]
#Define valid dicts
validDicts = dict()
for k in allDicts.keys():
if any(allDicts[k]):
validDicts[k] = allDicts[k]
#Define longest (with more points) graph
lenLongestDict = 0
keylongestDict = None
for k in validDicts.keys():
if len(validDicts[k]) > lenLongestDict:
lenLongestDict = len(validDicts[k])
keylongestDict = k
#Calc axes's step
stepsDict = dict()
for k in validDicts.keys():
numberOfPoints = len(validDicts[k])
stepsDict[k] = np.round(np.linspace(0, lenLongestDict, numberOfPoints, endpoint=True))
#plot
for k in validDicts.keys():
if k == 'error':
plot(stepsDict[k], validDicts[k], 'r,', markeredgewidth=0, label='Error', zorder=0)
elif k == 'cv':
plot(stepsDict[k], validDicts[k], 'g.', markersize=4, markeredgewidth=0, label='CV', zorder=3)
elif k == 'accuracy':
plot(stepsDict[k], validDicts[k], 'b.', markeredgewidth=0, label='Accuracy', zorder=2)
else:
plot(stepsDict[k], validDicts[k], Colors[color_idx], marker='.', ls='-', markeredgewidth=0, label=k, zorder=1)
color_idx += 1
#Titles
title(Title, fontsize=12)
xlabel(Xlabel, fontsize=10)
ylabel(Ylabel, fontsize=10)
if legend_on:
legend(loc='best', fontsize=10, numpoints=3, shadow=True, fancybox=True)
#Grid
grid()
margins(0.04)
savefig(name, dpi=120, bbox_inches='tight')
close()
def Builder(error=False,
cv=False,
accuracy=False,
name='./GraphBuilder_default_name.png',
legend_on=True,
Xlabel='epochs',
Ylabel='Error',
Title='Error vs epochs',
**kwargs):
#Colors
Colors = [
'c', 'm', 'y', 'k', colors.cnames['darkseagreen'],
colors.cnames['darkslateblue'], colors.cnames['darkslategray'],
colors.cnames['darkturquoise'], colors.cnames['darkviolet'],
colors.cnames['deeppink'], colors.cnames['deepskyblue'],
colors.cnames['dimgray']
]
color_idx = 0
#Add declared dict
allDicts = dict()
allDicts['error'] = error
allDicts['cv'] = cv
allDicts['accuracy'] = accuracy
#Add kwargs
for k in kwargs.keys():
allDicts[k] = kwargs[k]
#Define valid dicts
validDicts = dict()
for k in allDicts.keys():
if any(allDicts[k]):
validDicts[k] = allDicts[k]
#Define longest (with more points) graph
lenLongestDict = 0
keylongestDict = None
for k in validDicts.keys():
if len(validDicts[k]) > lenLongestDict:
lenLongestDict = len(validDicts[k])
keylongestDict = k
#Calc axes's step
stepsDict = dict()
for k in validDicts.keys():
numberOfPoints = len(validDicts[k])
stepsDict[k] = np.round(
np.linspace(0, lenLongestDict, numberOfPoints, endpoint=True))
#plot
for k in validDicts.keys():
if k == 'error':
plot(stepsDict[k],
validDicts[k],
'r,',
markeredgewidth=0,
label='Error',
zorder=0)
elif k == 'cv':
plot(stepsDict[k],
validDicts[k],
'g.',
markersize=4,
markeredgewidth=0,
label='CV',
zorder=3)
elif k == 'accuracy':
plot(stepsDict[k],
validDicts[k],
'b.',
markeredgewidth=0,
label='Accuracy',
zorder=2)
else:
plot(stepsDict[k],
validDicts[k],
Colors[color_idx],
marker='.',
ls='-',
markeredgewidth=0,
label=k,
zorder=1)
color_idx += 1
#Titles
title(Title, fontsize=12)
xlabel(Xlabel, fontsize=10)
ylabel(Ylabel, fontsize=10)
if legend_on:
legend(loc='best',
fontsize=10,
numpoints=3,
shadow=True,
fancybox=True)
#Grid
grid()
margins(0.04)
savefig(name, dpi=120, bbox_inches='tight')
close()
def Builder(
error=False, cv=False, accuracy=False, name="./GraphBuilder_default_name.png", legend_on=True, **kwargs
):
# Colors
Colors = ["c", "m", "y", "k"]
color_idx = 0
# Add declared dict
allDicts = dict()
allDicts["error"] = error
allDicts["cv"] = cv
allDicts["accuracy"] = accuracy
# Add kwargs
for k in kwargs.keys():
allDicts[k] = kwargs[k]
# Define valid dicts
validDicts = dict()
for k in allDicts.keys():
if any(allDicts[k]):
validDicts[k] = allDicts[k]
# Define longest (with more points) graph
lenLongestDict = 0
keylongestDict = None
for k in validDicts.keys():
if len(validDicts[k]) > lenLongestDict:
lenLongestDict = len(validDicts[k])
keylongestDict = k
# Calc axes's step
stepsDict = dict()
for k in validDicts.keys():
numberOfPoints = len(validDicts[k])
stepsDict[k] = np.round(np.linspace(0, lenLongestDict, numberOfPoints, endpoint=True))
# plot
for k in validDicts.keys():
if k == "error":
plot(stepsDict[k], validDicts[k], "r,", markeredgewidth=0, label="Error", zorder=0)
elif k == "cv":
plot(stepsDict[k], validDicts[k], "g.", markeredgewidth=0, label="CV", zorder=3)
elif k == "accuracy":
plot(stepsDict[k], validDicts[k], "b.", markeredgewidth=0, label="Accuracy", zorder=2)
else:
plot(stepsDict[k], validDicts[k], str(Colors[color_idx] + "."), markeredgewidth=0, label=k, zorder=1)
color_idx += 1
# Titles
title("Error vs epochs", fontsize=12)
xlabel("epochs", fontsize=10)
ylabel("Error", fontsize=10)
if legend_on:
legend(loc="upper right", fontsize=10, numpoints=3, shadow=True, fancybox=True)
# Grid
grid()
margins(0.04)
savefig(name, dpi=120)
close()
def Builder(error=False,
cv=False,
accuracy=False,
name='./GraphBuilder_default_name.png',
legend_on=True,
**kwargs):
#Colors
Colors = ['c', 'm', 'y', 'k']
color_idx = 0
#Add declared dict
allDicts = dict()
allDicts['error'] = error
allDicts['cv'] = cv
allDicts['accuracy'] = accuracy
#Add kwargs
for k in kwargs.keys():
allDicts[k] = kwargs[k]
#Define valid dicts
validDicts = dict()
for k in allDicts.keys():
if any(allDicts[k]):
validDicts[k] = allDicts[k]
#Define longest (with more points) graph
lenLongestDict = 0
keylongestDict = None
for k in validDicts.keys():
if len(validDicts[k]) > lenLongestDict:
lenLongestDict = len(validDicts[k])
keylongestDict = k
#Calc axes's step
stepsDict = dict()
for k in validDicts.keys():
numberOfPoints = len(validDicts[k])
stepsDict[k] = np.round(
np.linspace(0, lenLongestDict, numberOfPoints, endpoint=True))
#plot
for k in validDicts.keys():
if k == 'error':
plot(stepsDict[k],
validDicts[k],
'r,',
markeredgewidth=0,
label='Error',
zorder=0)
elif k == 'cv':
plot(stepsDict[k],
validDicts[k],
'g.',
markeredgewidth=0,
label='CV',
zorder=3)
elif k == 'accuracy':
plot(stepsDict[k],
validDicts[k],
'b.',
markeredgewidth=0,
label='Accuracy',
zorder=2)
else:
plot(stepsDict[k],
validDicts[k],
str(Colors[color_idx] + '.'),
markeredgewidth=0,
label=k,
zorder=1)
color_idx += 1
#Titles
title('Error vs epochs', fontsize=12)
xlabel('epochs', fontsize=10)
ylabel('Error', fontsize=10)
if legend_on:
legend(loc='upper right',
fontsize=10,
numpoints=3,
shadow=True,
fancybox=True)
#Grid
grid()
margins(0.04)
savefig(name, dpi=120)
close()