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chore: improve EstimatorType type

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Matthias
2025-04-23 19:33:51 +02:00
parent f86bc71c43
commit f545113840
1 changed files with 7 additions and 5 deletions
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12
freqtrade/optimize/hyperopt/hyperopt_interface.py
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@@ -8,7 +8,7 @@ import math
from abc import ABC
from typing import TypeAlias
from sklearn.base import RegressorMixin
from optuna.samplers import BaseSampler
from freqtrade.constants import Config
from freqtrade.exchange import timeframe_to_minutes
@@ -24,7 +24,7 @@ from freqtrade.strategy import IStrategy
logger = logging.getLogger(__name__)
EstimatorType: TypeAlias = RegressorMixin | str
EstimatorType: TypeAlias = BaseSampler | str
class IHyperOpt(ABC):
@@ -188,7 +188,7 @@ class IHyperOpt(ABC):
# This parameter is included into the hyperspace dimensions rather than assigning
# it explicitly in the code in order to have it printed in the results along with
# other 'trailing' hyperspace parameters.
ft_CategoricalDistribution([True], "trailing_stop"),
ft_CategoricalDistribution([True], name="trailing_stop"),
SKDecimal(0.01, 0.35, decimals=3, name="trailing_stop_positive"),
# 'trailing_stop_positive_offset' should be greater than 'trailing_stop_positive',
# so this intermediate parameter is used as the value of the difference between
@@ -196,7 +196,7 @@ class IHyperOpt(ABC):
# generate_trailing_params() method.
# This is similar to the hyperspace dimensions used for constructing the ROI tables.
SKDecimal(0.001, 0.1, decimals=3, name="trailing_stop_positive_offset_p1"),
ft_CategoricalDistribution([True, False], "trailing_only_offset_is_reached"),
ft_CategoricalDistribution([True, False], name="trailing_only_offset_is_reached"),
]
def max_open_trades_space(self) -> list[DimensionProtocol]:
@@ -205,7 +205,9 @@ class IHyperOpt(ABC):
You may override it in your custom Hyperopt class.
"""
return [ft_IntDistribution(-1, 10, "max_open_trades")]
return [
ft_IntDistribution(-1, 10, name="max_open_trades"),
]
# This is needed for proper unpickling the class attribute timeframe
# which is set to the actual value by the resolver.