def run_main():
target_func = lambda x: x
source_funcs = [
lambda x: x + 1,
lambda x: 3*x + 1,
lambda x: x**3 + 1,
step
]
titles = [
'Constant Shift',
'Linear Shift',
'Nonlinear Shift',
'Step Shift'
]
#x = np.linspace(0,1,10)
x = np.asarray([0,.1,.2,.3,.4,.5,.51,.6,.7,.8,.9,1.0])
#num_rows = len(source_funcs)
num_rows = 2
num_cols = 2
fig = plt.figure()
for i, source_f in enumerate(source_funcs):
subplot_idx = i + 1
plt.subplot(num_rows,num_cols,subplot_idx)
plt.title(titles[i])
y = source_f(x)
array_functions.plot_line_sub([x,x],[x,y],title=None,y_axes=None,fig=fig,show=False)
a = plt.gca()
left,right,top,bottom = (.05,.95,.95,.05)
fig.subplots_adjust(left=left,right=right,top=top,bottom=bottom)
plt.show()
pass
def run_main(results_file):
results = helper_functions.load_object(results_file)
x_list = []
g_list = []
y_axes = [-4,4]
for i, r in enumerate(results.results_list):
x, g = aggregate_g(r)
x_list.append(x)
g_list.append(g)
array_functions.plot_line_sub(x_list, g_list, title=results_file, y_axes=y_axes)
x = 1
def run_main():
f_ground_truth = lambda x: -np.cos(5 * x) + x**2 + 3
f_target = lambda x: 2.5 * x + 2
f_source = lambda x: -np.cos(5 * x) + 2 + -x
f_adapt = lambda x: f_ground_truth(x) - f_source(x)
f_adapted_source = lambda x: f_ground_truth(x) + (1 - x)
f_mixture = lambda x: sigmoid(10 * (x - .5))
#f_final = lambda x: (1-f_mixture(x))*f_target(x) + f_mixture(x)*(f_source(x) + f_adapt(x))
f_final = lambda x: (1 - f_mixture(x)) * f_target(x) + f_mixture(
x) * f_adapted_source(x)
source_funcs = [
f_target,
f_source,
f_adapted_source,
f_mixture,
f_final,
]
titles = [
r'Target: $f_T(x)$', r'Source: $f_S(x)$',
r'Adapted Source: $b(f_S(x), x)$', r'Mixture: $\alpha(x)$',
r'Final: $ (1- \alpha(x))f_T(x) + \alpha(x) b(f_S(x), x)$'
]
plot_ground_truth = [True, False, False, False, True]
x = np.linspace(0, 1, 100)
#x = np.asarray([0,.1,.2,.3,.4,.5,.51,.6,.7,.8,.9,1.0])
#num_rows = len(source_funcs)
num_rows = 1
num_cols = len(titles)
fig = plt.figure()
for i, source_f in enumerate(source_funcs):
subplot_idx = i + 1
plt.subplot(num_rows, num_cols, subplot_idx)
plt.title(titles[i])
y = source_f(x)
x_all = [x]
y_all = [y]
if plot_ground_truth[i]:
x_all.append(x)
y_all.append(f_ground_truth(x))
array_functions.plot_line_sub(x_all,
y_all,
title=None,
y_axes=None,
fig=fig,
show=False)
a = plt.gca()
left, right, top, bottom = (.05, .95, .9, .1)
fig.subplots_adjust(left=left, right=right, top=top, bottom=bottom)
array_functions.move_fig(fig, 1500, 300)
plt.show()
pass
