def plot(benchmark,
filename=None,
kinds=('suboptimality_curve', ),
display=True,
html=True,
plotly=False,
all_files=False):
if all_files:
assert filename is None, (
"Cannot use `--all` and `--filename` simultaneously.")
assert html, '`--all` can only be used for HTML plot generation.'
filename = 'all'
if html and len(kinds) > 0:
warnings.warn("Cannot specify '--kind' for HTML plot, this options "
"will be ignored.")
# Get the result file
benchmark = Benchmark(benchmark)
result_filename = benchmark.get_result_file(filename)
# Plot the results.
from benchopt.plotting import plot_benchmark
plot_benchmark(result_filename,
benchmark,
kinds=kinds,
display=display,
plotly=plotly,
html=html)
def plot(benchmark,
filename=None,
kinds=('suboptimality_curve', ),
display=True,
plotly=False):
# Get the result file
benchmark = Benchmark(benchmark)
result_filename = benchmark.get_result_file(filename)
# Plot the results.
df = pd.read_csv(result_filename)
plot_benchmark(df, benchmark, kinds=kinds, display=display, plotly=plotly)
def plot(benchmark,
filename=None,
kinds=('suboptimality_curve', ),
display=True,
plotly=False):
# Get the result file
benchmark = Benchmark(benchmark)
result_filename = benchmark.get_result_file(filename)
# Load the results.
import pandas as pd
df = pd.read_csv(result_filename)
# Plot the results.
from benchopt.plotting import plot_benchmark
plot_benchmark(df, benchmark, kinds=kinds, display=display, plotly=plotly)
def publish(benchmark, token=None, filename=None):
if token is None:
token = get_global_setting('github_token')
if token is None:
raise RuntimeError(
"Could not find the token value to connect to GitHub.\n\n"
"Please go to https://github.com/settings/tokens to generate a "
"personal token $TOKEN.\nThen, either provide it with option `-t` "
"or put it in a config file ./benchopt.ini\nunder section "
"[benchopt] as `github_token = $TOKEN`.")
# Get the result file
benchmark = Benchmark(benchmark)
result_filename = benchmark.get_result_file(filename)
# Publish the result.
publish_result_file(benchmark.name, result_filename, token)