def mpse():
mv = mview.MPSE(reduced_distances,
data_args={'weights': lambda x: x**(-1)},
verbose=2)
mv.gd(bach_size=9, max_iters=50)
mv.gd(max_iters=50, batch_size=16)
mv.gd()
mv.plot_embedding(labels=labels) #,axis=True)
mv.plot_embedding(labels=labels,
colors=reduced_distances[0][medici],
axis=True,
edges=edges1)
#mv.plot_embedding(labels=labels,colors=reduced_distances[1][medici],
# axis=True,edges=edges2)
mv.plot_computations()
mv.plot_image(0,
labels=labels,
colors=reduced_distances[0][medici],
axis=False,
title='MPSE embedding: marriage view',
edges=edges1)
mv.plot_image(1,
labels=labels,
colors=reduced_distances[1][medici],
axis=False,
title='MPSE embedding: loan view',
edges=edges2)
ave_medici = np.linalg.norm(mv.embedding-mv.embedding[medici])/ \
np.sqrt(len(reduced_families)-1)
print('medici average', ave_medici)
ave_strozzi = np.linalg.norm(mv.embedding-mv.embedding[strozzi])/ \
np.sqrt(len(reduced_families)-1)
print('strozzi average', ave_strozzi)
def mpse():
mv = mview.MPSE([distances[0], distances[1]],
data_args={'weights': 'reciprocal'},
verbose=2)
mv.gd()
mv.plot_embedding()
mv.plot_images()
mv.plot_computations()
def basic(groups=[0, 1], n_samples=None):
groups = [setup_data.group_names[group] for group in groups]
data = []
for group in groups:
data.append(setup_data.generate_data(group, n_samples))
results = setup_data.results[0:n_samples]
for dat in data:
mds = mview.MDS(dat, verbose=2)
mds.gd(batch_size=50, max_iter=30)
mds.plot_embedding(colors=results)
mds.plot_computations()
mv = mview.MPSE(data, verbose=2)
mv.gd(batch_size=50, max_iter=30)
mv.plot_embedding(colors=results)
mv.plot_images(colors=results)
mv.plot_computations()
plt.show()
def mpse(weighted=True,**kwargs):
print()
mv = mview.MPSE(diss,weighted=weighted,verbose=2)
mv.gd(min_grad=1e-4,max_iter=300,lr=0.1,average_neighbors=1)
mv.gd(min_grad=1e-4,max_iter=200,lr=[2,0.01],scheme='fixed')
mv.figureH()
mv.figureX(edges=marriage_edges,axis=True,labels=True,markersize=50,
colors=None)
mv.figureX(edges=loan_edges,axis=True,labels=True,markersize=50,colors=None)
mv.figureX(axis=True,labels=True,markersize=50,colors=None)
fig1,ax1 = plt.subplots()
fig2,ax2 = plt.subplots()
axes=[ax1,ax2]
mv.figureY(include_colors=True,
edges=[marriage_edges,loan_edges],labels=True,axis=False,
title=None,markersize=50,ax=axes)
plt.draw()
np.savetxt('X.csv', mv.X, delimiter=',')
np.savetxt('Q1.csv', mv.Q[0], delimiter=',')
np.savetxt('Q2.csv', mv.Q[1], delimiter=',')