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Merge pull request #4703 from freqtrade/decimal_space

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Add SKDecimal Space
This commit is contained in:
Matthias
2021-04-12 19:18:10 +02:00
committed by GitHub
parent f1ac6853fc 9804e20114
commit cb60db01b1
5 changed files with 103 additions and 53 deletions
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32
freqtrade/optimize/decimalspace.py Normal file
View File

@@ -0,0 +1,32 @@
import numpy as np
from skopt.space import Integer
class SKDecimal(Integer):
def __init__(self, low, high, decimals=3, prior="uniform", base=10, transform=None,
name=None, dtype=np.int64):
self.decimals = decimals
_low = int(low * pow(10, self.decimals))
_high = int(high * pow(10, self.decimals))
self.low_orig = low
self.high_orig = high
super().__init__(_low, _high, prior, base, transform, name, dtype)
def __repr__(self):
return "Decimal(low={}, high={}, decimals={}, prior='{}', transform='{}')".format(
self.low_orig, self.high_orig, self.decimals, self.prior, self.transform_)
def __contains__(self, point):
if isinstance(point, list):
point = np.array(point)
return self.low_orig <= point <= self.high_orig
def transform(self, Xt):
aa = [int(x * pow(10, self.decimals)) for x in Xt]
return super().transform(aa)
def inverse_transform(self, Xt):
res = super().inverse_transform(Xt)
return [round(x * pow(0.1, self.decimals), self.decimals) for x in res]

4
freqtrade/optimize/hyperopt_auto.py
View File

@@ -27,7 +27,7 @@ class HyperOptAuto(IHyperOpt):
for attr_name, attr in self.strategy.enumerate_parameters('buy'):
if attr.optimize:
# noinspection PyProtectedMember
attr._set_value(params[attr_name])
attr.value = params[attr_name]
return self.strategy.populate_buy_trend(dataframe, metadata)
return populate_buy_trend
@@ -37,7 +37,7 @@ class HyperOptAuto(IHyperOpt):
for attr_name, attr in self.strategy.enumerate_parameters('sell'):
if attr.optimize:
# noinspection PyProtectedMember
attr._set_value(params[attr_name])
attr.value = params[attr_name]
return self.strategy.populate_sell_trend(dataframe, metadata)
return populate_sell_trend

100
freqtrade/strategy/hyper.py
View File

@@ -10,6 +10,7 @@ from typing import Any, Iterator, Optional, Sequence, Tuple, Union
with suppress(ImportError):
from skopt.space import Integer, Real, Categorical
from freqtrade.optimize.decimalspace import SKDecimal
from freqtrade.exceptions import OperationalException
@@ -24,9 +25,8 @@ class BaseParameter(ABC):
category: Optional[str]
default: Any
value: Any
opt_range: Sequence[Any]
def __init__(self, *, opt_range: Sequence[Any], default: Any, space: Optional[str] = None,
def __init__(self, *, default: Any, space: Optional[str] = None,
optimize: bool = True, load: bool = True, **kwargs):
"""
Initialize hyperopt-optimizable parameter.
@@ -43,7 +43,6 @@ class BaseParameter(ABC):
self.category = space
self._space_params = kwargs
self.value = default
self.opt_range = opt_range
self.optimize = optimize
self.load = load
@@ -51,24 +50,51 @@ class BaseParameter(ABC):
return f'{self.__class__.__name__}({self.value})'
@abstractmethod
def get_space(self, name: str) -> Union['Integer', 'Real', 'Categorical']:
def get_space(self, name: str) -> Union['Integer', 'Real', 'SKDecimal', 'Categorical']:
"""
Get-space - will be used by Hyperopt to get the hyperopt Space
"""
def _set_value(self, value: Any):
class NumericParameter(BaseParameter):
""" Internal parameter used for Numeric purposes """
float_or_int = Union[int, float]
default: float_or_int
value: float_or_int
def __init__(self, low: Union[float_or_int, Sequence[float_or_int]],
high: Optional[float_or_int] = None, *, default: float_or_int,
space: Optional[str] = None, optimize: bool = True, load: bool = True, **kwargs):
"""
Update current value. Used by hyperopt functions for the purpose where optimization and
value spaces differ.
:param value: A numerical value.
Initialize hyperopt-optimizable numeric parameter.
Cannot be instantiated, but provides the validation for other numeric parameters
:param low: Lower end (inclusive) of optimization space or [low, high].
:param high: Upper end (inclusive) of optimization space.
Must be none of entire range is passed first parameter.
:param default: A default value.
:param space: A parameter category. Can be 'buy' or 'sell'. This parameter is optional if
parameter fieldname is prefixed with 'buy_' or 'sell_'.
:param optimize: Include parameter in hyperopt optimizations.
:param load: Load parameter value from {space}_params.
:param kwargs: Extra parameters to skopt.space.*.
"""
self.value = value
if high is not None and isinstance(low, Sequence):
raise OperationalException(f'{self.__class__.__name__} space invalid.')
if high is None or isinstance(low, Sequence):
if not isinstance(low, Sequence) or len(low) != 2:
raise OperationalException(f'{self.__class__.__name__} space must be [low, high]')
self.low, self.high = low
else:
self.low = low
self.high = high
super().__init__(default=default, space=space, optimize=optimize,
load=load, **kwargs)
class IntParameter(BaseParameter):
class IntParameter(NumericParameter):
default: int
value: int
opt_range: Sequence[int]
def __init__(self, low: Union[int, Sequence[int]], high: Optional[int] = None, *, default: int,
space: Optional[str] = None, optimize: bool = True, load: bool = True, **kwargs):
@@ -84,15 +110,8 @@ class IntParameter(BaseParameter):
:param load: Load parameter value from {space}_params.
:param kwargs: Extra parameters to skopt.space.Integer.
"""
if high is not None and isinstance(low, Sequence):
raise OperationalException('IntParameter space invalid.')
if high is None or isinstance(low, Sequence):
if not isinstance(low, Sequence) or len(low) != 2:
raise OperationalException('IntParameter space must be [low, high]')
opt_range = low
else:
opt_range = [low, high]
super().__init__(opt_range=opt_range, default=default, space=space, optimize=optimize,
super().__init__(low=low, high=high, default=default, space=space, optimize=optimize,
load=load, **kwargs)
def get_space(self, name: str) -> 'Integer':
@@ -100,13 +119,12 @@ class IntParameter(BaseParameter):
Create skopt optimization space.
:param name: A name of parameter field.
"""
return Integer(*self.opt_range, name=name, **self._space_params)
return Integer(low=self.low, high=self.high, name=name, **self._space_params)
class RealParameter(BaseParameter):
class RealParameter(NumericParameter):
default: float
value: float
opt_range: Sequence[float]
def __init__(self, low: Union[float, Sequence[float]], high: Optional[float] = None, *,
default: float, space: Optional[str] = None, optimize: bool = True,
@@ -123,15 +141,7 @@ class RealParameter(BaseParameter):
:param load: Load parameter value from {space}_params.
:param kwargs: Extra parameters to skopt.space.Real.
"""
if high is not None and isinstance(low, Sequence):
raise OperationalException(f'{self.__class__.__name__} space invalid.')
if high is None or isinstance(low, Sequence):
if not isinstance(low, Sequence) or len(low) != 2:
raise OperationalException(f'{self.__class__.__name__} space must be [low, high]')
opt_range = low
else:
opt_range = [low, high]
super().__init__(opt_range=opt_range, default=default, space=space, optimize=optimize,
super().__init__(low=low, high=high, default=default, space=space, optimize=optimize,
load=load, **kwargs)
def get_space(self, name: str) -> 'Real':
@@ -139,13 +149,12 @@ class RealParameter(BaseParameter):
Create skopt optimization space.
:param name: A name of parameter field.
"""
return Real(*self.opt_range, name=name, **self._space_params)
return Real(low=self.low, high=self.high, name=name, **self._space_params)
class DecimalParameter(RealParameter):
class DecimalParameter(NumericParameter):
default: float
value: float
opt_range: Sequence[float]
def __init__(self, low: Union[float, Sequence[float]], high: Optional[float] = None, *,
default: float, decimals: int = 3, space: Optional[str] = None,
@@ -161,29 +170,21 @@ class DecimalParameter(RealParameter):
parameter fieldname is prefixed with 'buy_' or 'sell_'.
:param optimize: Include parameter in hyperopt optimizations.
:param load: Load parameter value from {space}_params.
:param kwargs: Extra parameters to skopt.space.Real.
:param kwargs: Extra parameters to skopt.space.Integer.
"""
self._decimals = decimals
default = round(default, self._decimals)
super().__init__(low=low, high=high, default=default, space=space, optimize=optimize,
load=load, **kwargs)
def get_space(self, name: str) -> 'Integer':
def get_space(self, name: str) -> 'SKDecimal':
"""
Create skopt optimization space.
:param name: A name of parameter field.
"""
low = int(self.opt_range[0] * pow(10, self._decimals))
high = int(self.opt_range[1] * pow(10, self._decimals))
return Integer(low, high, name=name, **self._space_params)
def _set_value(self, value: int):
"""
Update current value. Used by hyperopt functions for the purpose where optimization and
value spaces differ.
:param value: An integer value.
"""
self.value = round(value * pow(0.1, self._decimals), self._decimals)
return SKDecimal(low=self.low, high=self.high, decimals=self._decimals, name=name,
**self._space_params)
class CategoricalParameter(BaseParameter):
@@ -208,7 +209,8 @@ class CategoricalParameter(BaseParameter):
if len(categories) < 2:
raise OperationalException(
'CategoricalParameter space must be [a, b, ...] (at least two parameters)')
super().__init__(opt_range=categories, default=default, space=space, optimize=optimize,
self.opt_range = categories
super().__init__(default=default, space=space, optimize=optimize,
load=load, **kwargs)
def get_space(self, name: str) -> 'Categorical':