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add back INITIAL_POINTS (default 30) for Samplers which support this

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viotemp1
2025-05-30 18:17:15 +03:00
parent dfae7ca2ec
commit 14cfdb13c5
1 changed files with 11 additions and 1 deletions
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10
freqtrade/optimize/hyperopt/hyperopt_optimizer.py
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@@ -45,6 +45,7 @@ from freqtrade.util.dry_run_wallet import get_dry_run_wallet
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
INITIAL_POINTS = 30
MAX_LOSS = 100000 # just a big enough number to be bad result in loss optimization MAX_LOSS = 100000 # just a big enough number to be bad result in loss optimization
@@ -425,6 +426,15 @@ class HyperOptimizer:
raise OperationalException(f"Optuna Sampler {o_sampler} not supported.") raise OperationalException(f"Optuna Sampler {o_sampler} not supported.")
with warnings.catch_warnings(): with warnings.catch_warnings():
warnings.filterwarnings(action="ignore", category=ExperimentalWarning) warnings.filterwarnings(action="ignore", category=ExperimentalWarning)
if o_sampler in ["NSGAIIISampler", "NSGAIISampler"]:
sampler = optuna_samplers_dict[o_sampler](
seed=random_state, population_size=INITIAL_POINTS
)
elif o_sampler in ["GPSampler", "TPESampler", "CmaEsSampler"]:
sampler = optuna_samplers_dict[o_sampler](
seed=random_state, n_startup_trials=INITIAL_POINTS
)
else:
sampler = optuna_samplers_dict[o_sampler](seed=random_state) sampler = optuna_samplers_dict[o_sampler](seed=random_state)
else: else:
sampler = o_sampler sampler = o_sampler