def test_experiment_worker_as_parameter(self):
"""Tests that ``Experiment`` is a valid parameter"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
experiment,
_,
):
plot = regret(experiment)
assert_regret_plot(plot)
def test_graph_layout(self):
"""Tests the layout of the plot"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regret(experiment)
assert_regret_plot(plot)
def test_returns_plotly_object(self):
"""Tests that the plotly backend returns a plotly object"""
with create_experiment(config, trial_config, ["completed"]) as (
_,
_,
experiment,
):
plot = regret(experiment)
assert type(plot) is plotly.graph_objects.Figure
def test_unsupported_order_key(self):
"""Tests that unsupported order keys are rejected"""
with create_experiment(config, trial_config) as (_, _, experiment):
with pytest.raises(ValueError):
regret(experiment, order_by="unsupported")
def test_ignore_uncompleted_statuses(self):
"""Tests that uncompleted statuses are ignored"""
with create_experiment(config, trial_config) as (_, _, experiment):
plot = regret(experiment)
assert_regret_plot(plot)
def test_requires_argument(self):
"""Tests that the experiment data are required."""
with pytest.raises(ValueError):
regret(None)
database=dict(type="pickleddb", host="../../db.pkl"))
# Load the data for the specified experiment
experiment = get_experiment("2-dim-exp", storage=storage)
fig = experiment.plot.regret()
fig.show()
#%%
# Module ``plotting``
# -------------------
#
# The plotting module can used as well to plot experiments.
import orion.plotting.base as plot
fig = plot.regret(experiment)
fig.show()
#%%
# The advantage of the plotting module is that it can render plots using
# multiple examples as shown in the example below.
#
fig = plot.regret(experiment)
fig.show()
# sphinx_gallery_thumbnail_path = '_static/paint.png'
#%%
# Command ``orion plot``
# ----------------------
