def demo_name_annot_complexity():
"""
This demo is meant to show the structure of the graph as more annotations
and names are added.
CommandLine:
python -m ibeis.algo.hots.demobayes --exec-demo_name_annot_complexity --show
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.algo.hots.demobayes import * # NOQA
>>> demo_name_annot_complexity()
>>> ut.show_if_requested()
"""
constkw = dict(score_evidence=[], name_evidence=[], mode=1)
# Initially there are 2 annots and 4 names
model, = test_model(num_annots=2, num_names=4, **constkw)
draw_tree_model(model)
# Adding a name causes the probability of the other names to go down
model, = test_model(num_annots=2, num_names=5, **constkw)
draw_tree_model(model)
# Adding an annotation wihtout matches dos not effect probabilities of
# names
model, = test_model(num_annots=3, num_names=5, **constkw)
draw_tree_model(model)
model, = test_model(num_annots=4, num_names=10, **constkw)
draw_tree_model(model)
# Given A annots, the number of score nodes is (A ** 2 - A) / 2
model, = test_model(num_annots=5, num_names=5, **constkw)
draw_tree_model(model)
def demo_name_annot_complexity():
"""
This demo is meant to show the structure of the graph as more annotations
and names are added.
CommandLine:
python -m ibeis.algo.hots.demobayes --exec-demo_name_annot_complexity --show
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.algo.hots.demobayes import * # NOQA
>>> demo_name_annot_complexity()
>>> ut.show_if_requested()
"""
constkw = dict(score_evidence=[], name_evidence=[], mode=1)
# Initially there are 2 annots and 4 names
model, = test_model(num_annots=2, num_names=4, **constkw)
draw_tree_model(model)
# Adding a name causes the probability of the other names to go down
model, = test_model(num_annots=2, num_names=5, **constkw)
draw_tree_model(model)
# Adding an annotation wihtout matches dos not effect probabilities of
# names
model, = test_model(num_annots=3, num_names=5, **constkw)
draw_tree_model(model)
model, = test_model(num_annots=4, num_names=10, **constkw)
draw_tree_model(model)
# Given A annots, the number of score nodes is (A ** 2 - A) / 2
model, = test_model(num_annots=5, num_names=5, **constkw)
draw_tree_model(model)
def demo_structure():
r"""
CommandLine:
python -m ibeis.algo.hots.demobayes --exec-demo_structure --show
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.algo.hots.demobayes import * # NOQA
>>> result = demo_structure()
>>> ut.show_if_requested()
"""
constkw = dict(score_evidence=[], name_evidence=[], mode=3)
model, = test_model(num_annots=4, num_names=4, **constkw)
draw_tree_model(model)
def demo_structure():
r"""
CommandLine:
python -m ibeis.algo.hots.demobayes --exec-demo_structure --show
Example:
>>> # DISABLE_DOCTEST
>>> from ibeis.algo.hots.demobayes import * # NOQA
>>> result = demo_structure()
>>> ut.show_if_requested()
"""
constkw = dict(score_evidence=[], name_evidence=[], mode=3)
model, = test_model(num_annots=4, num_names=4, **constkw)
draw_tree_model(model)
