from typing import List
from optuna.distributions import LogUniformDistribution
from optuna.trial import FrozenTrial
from optuna.visualization import _plotly_imports
__all__ = ["is_available"]
[docs]def is_available() -> bool:
"""Returns whether visualization is available or not.
.. note::
:mod:`~optuna.visualization` module depends on plotly version 4.0.0 or higher. If a
supported version of plotly isn't installed in your environment, this function will return
:obj:`False`. In such case, please execute ``$ pip install -U plotly>=4.0.0`` to install
plotly.
Returns:
:obj:`True` if visualization is available, :obj:`False` otherwise.
"""
return _plotly_imports._imports.is_successful()
def _is_log_scale(trials: List[FrozenTrial], param: str) -> bool:
return any(
isinstance(t.distributions[param], LogUniformDistribution)
for t in trials
if param in t.params
)