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51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
# pragma pylint: disable=attribute-defined-outside-init
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"""
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This module load custom hyperopt
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"""
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import logging
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from pathlib import Path
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from freqtrade.constants import HYPEROPT_LOSS_BUILTIN, USERPATH_HYPEROPTS, Config
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from freqtrade.exceptions import OperationalException
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from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss
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from freqtrade.resolvers import IResolver
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logger = logging.getLogger(__name__)
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class HyperOptLossResolver(IResolver):
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"""
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This class contains all the logic to load custom hyperopt loss class
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"""
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object_type = IHyperOptLoss
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object_type_str = "HyperoptLoss"
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user_subdir = USERPATH_HYPEROPTS
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initial_search_path = Path(__file__).parent.parent.joinpath("optimize/hyperopt_loss").resolve()
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@staticmethod
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def load_hyperoptloss(config: Config) -> IHyperOptLoss:
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"""
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Load the custom class from config parameter
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:param config: configuration dictionary
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"""
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hyperoptloss_name = config.get("hyperopt_loss")
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if not hyperoptloss_name:
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raise OperationalException(
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"No Hyperopt loss set. Please use `--hyperopt-loss` to "
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"specify the Hyperopt-Loss class to use.\n"
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f"Built-in Hyperopt-loss-functions are: {', '.join(HYPEROPT_LOSS_BUILTIN)}"
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)
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hyperoptloss = HyperOptLossResolver.load_object(
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hyperoptloss_name, config, kwargs={}, extra_dir=config.get("hyperopt_path")
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)
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# Assign timeframe to be used in hyperopt
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hyperoptloss.__class__.timeframe = str(config["timeframe"])
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return hyperoptloss
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