Readded things
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@ -33,8 +33,11 @@ from user_data.hyperopt_conf import hyperopt_optimize_conf
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class Testz():
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MongoTrials('mongo://127.0.0.1:1234/freqtrade_hyperopt/jobs')
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db_name = 'freqtrade_hyperopt'
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MongoTrials(
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arg='mongo://127.0.0.1:1234/{}/jobs'.format(db_name),
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exp_key='exp1'
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)
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class Hyperopt(Backtesting):
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@ -542,14 +545,20 @@ class Hyperopt(Backtesting):
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space=self.hyperopt_space(),
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algo=tpe.suggest,
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max_evals=self.total_tries,
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trials=MongoTrials('mongo://127.0.0.1:1234/freqtrade_hyperopt/jobs')
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trials=MongoTrials(arg='mongo://127.0.0.1:1234/freqtrade_hyperopt/jobs', exp_key='exp1')
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)
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# change the Logging format
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self.logging.set_format('\n%(message)s')
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best_parameters = Tests()
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results = sorted(self.trials.results, key=itemgetter('loss'))
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best_result = results[0]['result']
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return best_parameters
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try:
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# change the Logging format
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self.logging.set_format('\n%(message)s')
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best_parameters = Tests()
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results = sorted(self.trials.results, key=itemgetter('loss'))
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best_result = results[0]['result']
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# Improve best parameter logging display
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except ValueError:
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best_parameters = {}
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best_result = 'Sorry, Hyperopt was not able to find good parameters. Please ' \
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'try with more epochs (param: -e).'
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if best_parameters:
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best_parameters = space_eval(
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self.hyperopt_space(),
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