Comments (3)
I don't believe that in the context of this project because the code mainly comprises of numpy
and tensorflow
which provide alike api for both python2 and python3.
It would be highly appreciated if you raise a pull request for a python3 version of the project 😄.
from deep-trading-agent.
it's possible at command line to simply type
**2to3 */*.py -W**
this will upgrade syntax in files to python3.
from deep-trading-agent.
from deep-trading-agent.
Related Issues (20)
- Price gap between historical dataset and live API requests HOT 4
- not an issue - fyi dockerfile + ssh daemon HOT 1
- enhancement - risk reward / position sizing HOT 2
- Nan in summary histogram for: q_network/avg_q_summary/q/2 HOT 10
- AttributeError: 'Agent' object has no attribute 'q_gru_keep_prob' HOT 1
- Running the docker container throws `killed` in preprocess.py HOT 2
- ERROR: INVALID_TIMESTEP HOT 1
- Add trading activity as an input HOT 1
- Performance issue HOT 6
- Testing module HOT 2
- Example Config HOT 2
- Some Issues - Pycharm W10
- Unable to understand the Reward Function
- TypeError: unhashable type: 'numpy.ndarray' HOT 3
- ModuleNotFoundError: No module named 'ConfigParser' HOT 2
- training issue HOT 5
- any plan to add SMA, RSI, ATR indices? HOT 28
- InvalidArgumentError (see above for traceback): Input to reshape is a tensor wit h 80640 values, but the requested shape has 115200 HOT 1
- ERROR: No section: 'global' HOT 5
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