def plot(model_name, dataset, datasize):
exp = "2"
path_manager = PathManager(model_name, dataset)
dist = defaultdict(list)
for expl_name in AbsExp.get_method_names():
result_file = path_manager.result_json_path(
exp, expl_name, datasize)
if os.path.isfile(result_file):
with open(result_file) as f:
results = json.loads(f.readlines()[0])
for value in results.values():
dist[expl_name].append(value["L1Distance"])
pdf_name = path_manager.figure_path(datasize, exp)
pp = PdfPages(pdf_name)
values, names = [], []
for i, j in sorted(dist.items(), key=Plot.sort_key, reverse=False):
values.append(j)
names.append(i)
Plot.plot_box(values, names, pp, model_name, "L1Dist", True, False,
pdf_name)
pp.close()
def plot(model_name, dataset, datasize):
exp = "7"
path_manager = PathManager(model_name, dataset)
cs = defaultdict(list)
for feature_type in AbsExp.get_attribute_method_names():
result_file = path_manager.result_json_path(
exp, feature_type, datasize)
if os.path.isfile(result_file):
with open(result_file) as f:
results = json.loads(f.readlines()[0])
for value in results.values():
cs[feature_type].append(value["Cosine"])
pdf_name = path_manager.figure_path(datasize, exp)
pp = PdfPages(pdf_name)
values, names = [], []
for i, j in sorted(cs.items(), key=Plot.sort_key, reverse=True):
values.append(sorted(j, reverse=True))
names.append(i)
Plot.plot_line(values, names, pp, model_name, "CS",
"Index of Instance", [-0.05, 1.1], 0.5, (18, 6),
(100, 300))
pp.close()
def plot(model_name, dataset, datasize):
exp = "1"
wd = defaultdict(list)
rd = defaultdict(list)
path_manager = PathManager(model_name, dataset)
for expl_name in AbsExp.get_method_names():
result_file = path_manager.result_json_path(
exp, expl_name, datasize)
# ##############################################
# if "Open" not in result_file:
# continue
# ##############################################
if os.path.isfile(result_file):
with open(result_file) as f:
results = json.loads(f.readlines()[0])
for result in results.values():
wd[expl_name].append(result["CoreParameter"])
rd[expl_name].append(0 if result["Polytope"] ==
0 else 1)
pdf_name = path_manager.figure_path(datasize, exp)
pp = PdfPages(pdf_name)
values, names = [], []
logger.info("WD {}".format({i: np.mean(j) for i, j in wd.items()}))
for i, j in sorted(wd.items(), key=Plot.sort_key, reverse=False):
values.append(j)
names.append(i)
Plot.plot_box(values, names, pp, model_name, "WD", False, True,
pdf_name)
logger.info("RD {}".format({i: np.mean(j) for i, j in rd.items()}))
values, names = [], []
for i, j in sorted(rd.items(), key=Plot.sort_key, reverse=False):
values.append(j)
names.append(i)
Plot.plot_scatter(values, names, pp, model_name, "RD")
pp.close()
def plot(model_name, dataset, datasize):
exp = "3"
path_manager = PathManager(model_name, dataset)
cs = defaultdict(list)
for expl_name in AbsExp.get_method_names():
result_file = path_manager.result_json_path(
exp, expl_name, datasize)
if os.path.isfile(result_file):
with open(result_file) as f:
results = json.loads(f.readlines()[0])
for value in results.values():
cs[expl_name].append(value["Cosine"])
pdf_name = path_manager.figure_path(datasize, exp)
pp = PdfPages(pdf_name)
values, names = [], []
for i, j in sorted(cs.items(), key=Plot.sort_key, reverse=True):
if "-08" not in i and "0.0001" not in i and "Ground" not in i:
continue
values.append(sorted(j, reverse=True))
names.append(i)
Plot.plot_line(values, names, pp, model_name, "CS",
"Index of Instance", [-0.05, 1.1], 0.5)
pp.close()
