2018-11-24 19:14:08 +00:00
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# pragma pylint: disable=attribute-defined-outside-init
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"""
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2019-11-13 08:38:06 +00:00
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This module load custom hyperopt
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2018-11-24 19:14:08 +00:00
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"""
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import logging
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2018-11-24 19:39:16 +00:00
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from pathlib import Path
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2018-11-24 19:14:08 +00:00
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2022-09-18 11:31:52 +00:00
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from freqtrade.constants import HYPEROPT_LOSS_BUILTIN, USERPATH_HYPEROPTS, Config
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2019-12-30 14:02:17 +00:00
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from freqtrade.exceptions import OperationalException
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2019-07-16 04:27:23 +00:00
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from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss
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2018-11-24 19:14:08 +00:00
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from freqtrade.resolvers import IResolver
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2020-09-28 17:39:41 +00:00
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2018-11-24 19:14:08 +00:00
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logger = logging.getLogger(__name__)
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2019-07-16 04:27:23 +00:00
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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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2019-12-24 12:34:37 +00:00
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object_type = IHyperOptLoss
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2019-12-24 12:54:46 +00:00
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object_type_str = "HyperoptLoss"
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user_subdir = USERPATH_HYPEROPTS
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2022-04-30 11:59:23 +00:00
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initial_search_path = Path(__file__).parent.parent.joinpath('optimize/hyperopt_loss').resolve()
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2019-07-16 04:27:23 +00:00
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2019-12-23 09:09:08 +00:00
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@staticmethod
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2022-09-18 11:31:52 +00:00
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def load_hyperoptloss(config: Config) -> IHyperOptLoss:
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2019-07-16 04:27:23 +00:00
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"""
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Load the custom class from config parameter
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2019-10-13 00:41:25 +00:00
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:param config: configuration dictionary
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2019-07-16 04:27:23 +00:00
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"""
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2020-10-05 17:27:28 +00:00
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hyperoptloss_name = config.get('hyperopt_loss')
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if not hyperoptloss_name:
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2020-10-28 06:58:55 +00:00
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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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2019-12-24 12:54:46 +00:00
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hyperoptloss = HyperOptLossResolver.load_object(hyperoptloss_name,
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config, kwargs={},
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extra_dir=config.get('hyperopt_path'))
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2019-07-16 04:27:23 +00:00
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2020-06-01 18:49:40 +00:00
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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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2019-07-16 04:27:23 +00:00
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2019-12-23 09:09:08 +00:00
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return hyperoptloss
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