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remove # Suppress optuna ExperimentalWarning from skopt

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with warnings.catch_warnings():
    from optuna.exceptions import ExperimentalWarning
    warnings.filterwarnings("ignore", category=FutureWarning)
this should be when importing sampler
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viotemp1
2025-04-27 22:02:39 +03:00
parent 8d0ca7f5c1
commit 04492e75b2
1 changed files with 9 additions and 16 deletions
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25
freqtrade/optimize/hyperopt/hyperopt_optimizer.py
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@@ -10,8 +10,10 @@ from datetime import datetime, timezone
from pathlib import Path from pathlib import Path
from typing import Any from typing import Any
import optuna
from joblib import dump, load from joblib import dump, load
from joblib.externals import cloudpickle from joblib.externals import cloudpickle
from optuna.exceptions import ExperimentalWarning
from pandas import DataFrame from pandas import DataFrame
# from memory_profiler import profile # from memory_profiler import profile
@@ -29,26 +31,17 @@ from freqtrade.optimize.hyperopt.hyperopt_auto import HyperOptAuto
from freqtrade.optimize.hyperopt_loss.hyperopt_loss_interface import IHyperOptLoss from freqtrade.optimize.hyperopt_loss.hyperopt_loss_interface import IHyperOptLoss
from freqtrade.optimize.hyperopt_tools import HyperoptStateContainer, HyperoptTools from freqtrade.optimize.hyperopt_tools import HyperoptStateContainer, HyperoptTools
from freqtrade.optimize.optimize_reports import generate_strategy_stats from freqtrade.optimize.optimize_reports import generate_strategy_stats
from freqtrade.optimize.space import (
DimensionProtocol,
SKDecimal,
ft_CategoricalDistribution,
ft_FloatDistribution,
ft_IntDistribution,
)
from freqtrade.resolvers.hyperopt_resolver import HyperOptLossResolver from freqtrade.resolvers.hyperopt_resolver import HyperOptLossResolver
from freqtrade.util.dry_run_wallet import get_dry_run_wallet from freqtrade.util.dry_run_wallet import get_dry_run_wallet
# Suppress optuna ExperimentalWarning from skopt
with warnings.catch_warnings():
from optuna.exceptions import ExperimentalWarning
warnings.filterwarnings("ignore", category=FutureWarning)
# warnings.filterwarnings("ignore", category=ExperimentalWarning)
import optuna
from freqtrade.optimize.space import (
DimensionProtocol,
SKDecimal,
ft_CategoricalDistribution,
ft_FloatDistribution,
ft_IntDistribution,
)
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)