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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 abc import ABC
from typing import TypeAlias from typing import TypeAlias
from sklearn.base import RegressorMixin from optuna.samplers import BaseSampler
from freqtrade.constants import Config from freqtrade.constants import Config
from freqtrade.exchange import timeframe_to_minutes from freqtrade.exchange import timeframe_to_minutes
@@ -24,7 +24,7 @@ from freqtrade.strategy import IStrategy
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
EstimatorType: TypeAlias = RegressorMixin | str EstimatorType: TypeAlias = BaseSampler | str
class IHyperOpt(ABC): class IHyperOpt(ABC):
@@ -188,7 +188,7 @@ class IHyperOpt(ABC):
# This parameter is included into the hyperspace dimensions rather than assigning # 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 # it explicitly in the code in order to have it printed in the results along with
# other 'trailing' hyperspace parameters. # 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"), SKDecimal(0.01, 0.35, decimals=3, name="trailing_stop_positive"),
# 'trailing_stop_positive_offset' should be greater than '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 # so this intermediate parameter is used as the value of the difference between
@@ -196,7 +196,7 @@ class IHyperOpt(ABC):
# generate_trailing_params() method. # generate_trailing_params() method.
# This is similar to the hyperspace dimensions used for constructing the ROI tables. # 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"), 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]: def max_open_trades_space(self) -> list[DimensionProtocol]:
@@ -205,7 +205,9 @@ class IHyperOpt(ABC):
You may override it in your custom Hyperopt class. 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 # This is needed for proper unpickling the class attribute timeframe
# which is set to the actual value by the resolver. # which is set to the actual value by the resolver.