def net():
net = cn.Network(name='my tikz test network', directed=True)
net.add_edges_from([('ab', 'a', 'b'), ('ac', 'a', 'c'), ('cd', 'c', 'd'),
('de', 'd', 'e'), ('ec', 'e', 'c'), ('cf', 'c', 'f'),
('fa', 'f', 'a'), ('fg', 'f', 'g'), ('gd', 'g', 'd'),
('gg', 'g', 'g')])
net.edges['ab']['force'] = 3
net.edges['ac']['force'] = 2
net.edges['cd']['force'] = 1
net.edges['de']['force'] = 1
net.edges['ec']['force'] = 3
net.edges['cf']['force'] = 1
net.edges['fa']['force'] = 1
net.edges['fg']['force'] = 1
net.edges['gd']['force'] = 1
net.edges['gg']['force'] = 1
net.nodes['name'] = [
'Alice', 'Bob', 'Claire', 'Dennis', 'Esther', 'Frank', 'George'
]
net.nodes['age'] = [25, 31, 18, 47, 22, 23, 50]
net.nodes['gender'] = ['f', 'm', 'f', 'm', 'f', 'm', 'm']
net.edges['is_formal'] = [
False, False, True, True, True, False, True, False, False, False
]
return net
def net_2():
net = cn.Network(name='my tikz test network number 2', directed=True)
net.add_edges_from([('uv', 'u', 'v'), ('vw', 'v', 'w')])
return net
def net_1():
net = cn.Network(name='my tikz test network number 1', directed=True)
net.add_edges_from([('ab', 'a', 'b'), ('bc', 'b', 'c')])
return net
del train, train_label
train_data, valid_data = shared((X, y)), shared((Xval, yval))
del X, Xval
## Training
# Experiment 1: sigmoid
num_epochs = 60
mini_batch_size = 10
eta = 0.1
net = cn.Network([
cn.ConvPoolLayer(image_shape=(1, 28, 28),
filter_shape=(20, 1, 5, 5),
poolsize=(2, 2)),
cn.ConvPoolLayer(image_shape=(20, 12, 12),
filter_shape=(40, 20, 5, 5),
poolsize=(2, 2)),
cn.FullyConnectedLayer(n_in=40*4*4, n_out=100),
cn.SoftmaxLayer(n_in=100, n_out=10)])
t0 = time()
net.fit(train_data, num_epochs, mini_batch_size, eta, valid_data, early_stop=True)
time() - t0
# 99.79% train accu, 98.87% val accu, 98.94% test accu
# Experiment 2: relu
num_epochs = 20
mini_batch_size = 16
eta = 0.05
net = cn.Network([
cn.ConvPoolLayer(image_shape=(1, 28, 28),
def main():
# Network
# -------
net = cn.Network(name='my tikz test network', directed=True)
net.add_edges_from([('ab', 'a', 'b'), ('ac', 'a', 'c'), ('cd', 'c', 'd'),
('de', 'd', 'e'), ('ec', 'e', 'c'), ('cf', 'c', 'f'),
('fa', 'f', 'a'), ('fg', 'f', 'g'), ('gd', 'g', 'd'),
('gg', 'g', 'g')])
# Network attributes
# ------------------
net.nodes['name'] = [
'Alice', 'Bob', 'Claire', 'Dennis', 'Esther', 'Frank', 'George'
]
net.nodes['age'] = [25, 31, 18, 47, 22, 23, 50]
net.nodes['gender'] = ['f', 'm', 'f', 'm', 'f', 'm', 'm']
net.edges['is_formal'] = [
False, False, True, True, True, False, True, False, False, False
]
# Network dicts
# -------------
color_dict = {"m": "blue", "f": "red"}
shape_dict = {"m": "circle", "f": "rectangle"}
style_dict = {"m": "{shading=ball}", "f": None}
layout = {
'a': (4.3191, -3.5352),
'b': (0.5292, -0.5292),
'c': (8.6559, -3.8008),
'd': (12.4117, -7.5239),
'e': (12.7, -1.7069),
'f': (6.0022, -9.0323),
'g': (9.7608, -12.7)
}
# Visual style dict
# -----------------
visual_style = {}
# node styles
# -----------
visual_style['node_size'] = 5
visual_style['node_color'] = [color_dict[g] for g in net.nodes('gender')]
visual_style['node_opacity'] = .7
visual_style['node_label'] = net.nodes['name']
visual_style['node_label_position'] = 'below'
visual_style['node_label_distance'] = 15
visual_style['node_label_color'] = 'gray'
visual_style['node_label_size'] = 3
visual_style['node_shape'] = [shape_dict[g] for g in net.nodes('gender')]
visual_style['node_style'] = [style_dict[g] for g in net.nodes('gender')]
visual_style['node_label_off'] = {'e': True}
visual_style['node_math_mode'] = [True]
visual_style['node_label_as_id'] = {'f': True}
visual_style['node_pseudo'] = {'d': True}
# edge styles
# -----------
visual_style['edge_width'] = [
.3 + .3 * int(f) for f in net.edges('is_formal')
]
visual_style['edge_color'] = 'black'
visual_style['edge_opacity'] = .8
visual_style['edge_curved'] = 0.1
visual_style['edge_label'] = [e for e in net.edges]
visual_style['edge_label_position'] = 'above'
visual_style['edge_label_distance'] = .6
visual_style['edge_label_color'] = 'gray'
visual_style['edge_label_size'] = {'ac': 5}
visual_style['edge_style'] = 'dashed'
visual_style['edge_arrow_size'] = .2
visual_style['edge_arrow_width'] = .2
visual_style['edge_loop_size'] = 15
visual_style['edge_loop_position'] = 90
visual_style['edge_loop_shape'] = 45
visual_style['edge_directed'] = [
True, True, False, True, True, False, True, True, True, True
]
visual_style['edge_label'][1] = '\\frac{\\alpha}{\\beta}'
visual_style['edge_math_mode'] = {'ac': True}
visual_style['edge_not_in_bg'] = {'fa': True}
# general options
# ---------------
visual_style['unit'] = 'mm'
visual_style['layout'] = layout
visual_style["margin"] = {'top': 5, 'bottom': 8, 'left': 5, 'right': 5}
visual_style["canvas"] = (100, 60)
visual_style['keep_aspect_ratio'] = False
# Create a latex file
plot(net, 'network.tex', **visual_style)