(train_timesteps * train_cycles + self.n_envs - 1) // self.n_envs
) * self.n_envs
train_days = steps_to_days(train_timesteps, self.config.get("timeframe"))
+ test_days = steps_to_days(test_timesteps, self.config.get("timeframe"))
total_days = steps_to_days(total_timesteps, self.config.get("timeframe"))
logger.info("Action masking: %s", self.is_maskable)
- logger.info(
- "Train: %s steps (%s days) * %s cycles = Total %s (%s days)",
- train_timesteps,
- train_days,
- train_cycles,
- total_timesteps,
- total_days,
- )
- logger.info(
- "Test: %s steps (%s days)",
- test_timesteps,
- steps_to_days(test_timesteps, self.config.get("timeframe")),
- )
+ logger.info("Train: %s steps (%s days)", train_timesteps, train_days)
+ logger.info("Train cycles: %s", train_cycles)
+ logger.info("Train total: %s steps (%s days)", total_timesteps, total_days)
+ logger.info("Test: %s steps (%s days)", test_timesteps, test_days)
logger.info("Hyperopt: %s", self.hyperopt)
start_time = time.time()