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d796ce0935
1. Try to get points using `self.opt.ask` first 2. Discard the points that have already been evaluated 3. Retry using `self.opt.ask` up to 3 times 4. If still some points are missing in respect to `n_points`, random sample some points 5. Repeat until at least `n_points` points in the `asked_non_tried` list 6. Return a list with legth truncated at `n_points` |
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.. | ||
space | ||
__init__.py | ||
backtesting.py | ||
bt_progress.py | ||
edge_cli.py | ||
hyperopt_auto.py | ||
hyperopt_epoch_filters.py | ||
hyperopt_interface.py | ||
hyperopt_loss_calmar.py | ||
hyperopt_loss_interface.py | ||
hyperopt_loss_max_drawdown.py | ||
hyperopt_loss_onlyprofit.py | ||
hyperopt_loss_profit_drawdown.py | ||
hyperopt_loss_sharpe_daily.py | ||
hyperopt_loss_sharpe.py | ||
hyperopt_loss_short_trade_dur.py | ||
hyperopt_loss_sortino_daily.py | ||
hyperopt_loss_sortino.py | ||
hyperopt_tools.py | ||
hyperopt.py | ||
optimize_reports.py |