def plot(benchmark,
filename=None,
kinds=('suboptimality_curve', ),
no_display=False):
output_folder = _get_output_folder(benchmark)
all_csv_files = output_folder.glob("*.csv")
all_csv_files = sorted(all_csv_files, key=lambda t: t.stat().st_mtime)
if filename is not None:
if (output_folder / filename).exists():
result_filename = output_folder / filename
elif Path(filename).exists():
result_filename = Path(filename)
else:
all_csv_files = '\n- '.join([str(s) for s in all_csv_files])
raise FileNotFoundError(
f"Could not find result file {filename}. Available result "
f"files are:\n- {all_csv_files}")
else:
result_filename = all_csv_files[-1]
df = pd.read_csv(result_filename)
plot_benchmark(df, benchmark, kinds=kinds, display=not no_display)
import os
from pathlib import Path
import matplotlib.pyplot as plt
from benchopt import run_benchmark
from benchopt.viz import plot_benchmark, PLOT_KINDS
BENCHMARK_PATH = Path(os.getcwd()).parent / 'benchmarks' / 'lasso'
try:
df = run_benchmark(
str(BENCHMARK_PATH),
['Python-PGD*use_acceleration=False', 'R-PGD', 'Julia-PGD'],
dataset_names=['Simulated*n_samples=100,n_features=500*'],
objective_filters=['reg=0.5'],
max_runs=100,
timeout=100,
n_repetitions=5,
plot_result=False,
show_progress=False)
except RuntimeError:
raise RuntimeError(
"This example can only work when Lasso benchmark is cloned in the "
"example folder. Please run:\n"
"$ git clone https://github.com/benchopt/benchmark_lasso "
f"{BENCHMARK_PATH.resolve()}")
kinds = list(PLOT_KINDS.keys())
figs = plot_benchmark(df, benchmark=str(BENCHMARK_PATH), kinds=kinds)
plt.show()
===========================
"""
import os
from pathlib import Path
import matplotlib.pyplot as plt
from benchopt import run_benchmark
from benchopt.viz import plot_benchmark
BENCHMARK_PATH = Path(os.getcwd()).parent / 'benchmarks' / 'logreg_l2'
try:
df = run_benchmark(
str(BENCHMARK_PATH), ['sklearn', 'lightning'],
dataset_names=['Simulated*n_samples=200,n_features=500*'],
max_runs=100,
timeout=20,
n_repetitions=3,
plot_result=False,
show_progress=False)
except RuntimeError:
raise RuntimeError(
"This example can only work when Lasso benchmark is cloned in the "
"example folder. Please run:\n"
"$ git clone https://github.com/benchopt/benchmark_logreg_l2 "
f"{BENCHMARK_PATH.resolve()}")
figs = plot_benchmark(df, benchmark=str(BENCHMARK_PATH))
plt.show()