PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
I get this error:
TypeError: init() got multiple values for argument 'dtype'
I changed only the start and end times in the configuration file. Are there any recommendations?
Here's the logfile:
INFO:root:select coin online from 2021-10-12 00:00 to 2021-11-11 00:00
DEBUG:root:Selected coins are: ['reversed_USDT', 'reversed_USDC', 'ETH', 'LTC', 'XRP', 'SRM', 'DOGE', 'XMR', 'BCH', 'DOT', 'EOS']
INFO:root:fill SRM data from 2021-03-26 00:00 to 2021-06-24 11:59
INFO:root:fill SRM data from 2021-06-24 12:00 to 2021-09-22 23:59
INFO:root:fill SRM data from 2021-09-23 00:00 to 2021-12-01 00:00
INFO:root:fill DOT data from 2021-03-26 00:00 to 2021-06-24 11:59
INFO:root:fill DOT data from 2021-06-24 12:00 to 2021-09-22 23:59
INFO:root:fill DOT data from 2021-09-23 00:00 to 2021-12-01 00:00
INFO:root:fill EOS data from 2021-11-30 23:00 to 2021-12-01 00:00
INFO:root:feature type list is ['close', 'high', 'low']
DEBUG:root:buffer_bias is 0.000050
INFO:root:the number of training examples is 11008, of test examples is 929
DEBUG:root:the training set is from 0 to 11007
DEBUG:root:the test set is from 11040 to 12000
Hello,
When I run this code:
python main.py --mode=train --processes=1
I get this error: TypeError: init() got multiple values for argument 'dtype'
I changed only the start and end times in the configuration file. Are there any recommendations?
Here's the logfile:
INFO:root:select coin online from 2021-10-12 00:00 to 2021-11-11 00:00 DEBUG:root:Selected coins are: ['reversed_USDT', 'reversed_USDC', 'ETH', 'LTC', 'XRP', 'SRM', 'DOGE', 'XMR', 'BCH', 'DOT', 'EOS'] INFO:root:fill SRM data from 2021-03-26 00:00 to 2021-06-24 11:59 INFO:root:fill SRM data from 2021-06-24 12:00 to 2021-09-22 23:59 INFO:root:fill SRM data from 2021-09-23 00:00 to 2021-12-01 00:00 INFO:root:fill DOT data from 2021-03-26 00:00 to 2021-06-24 11:59 INFO:root:fill DOT data from 2021-06-24 12:00 to 2021-09-22 23:59 INFO:root:fill DOT data from 2021-09-23 00:00 to 2021-12-01 00:00 INFO:root:fill EOS data from 2021-11-30 23:00 to 2021-12-01 00:00 INFO:root:feature type list is ['close', 'high', 'low'] DEBUG:root:buffer_bias is 0.000050 INFO:root:the number of training examples is 11008, of test examples is 929 DEBUG:root:the training set is from 0 to 11007 DEBUG:root:the test set is from 11040 to 12000
Thanks.