Comments (2)
This sentence of yours is correct โthis implies that keras should not be included in the requirements document since it is part of tensorflow.โ
I don't know where changing that code could make the code fail, you need to know the points before affirming that you can remove the keras requirement.
Currently, the team lacks time for that task, if you want to make a small evaluation we will include it.
Thank you very much for your time david.
from tensorflow-stocks-prediction-machine-learning-realtime.
What do you mean by,
you need to know the points before affirming that you can remove the keras requirement
the points of what?
I was suggesting that either line 6 be removed, because set_session is not called
or
If set_session uncommented on line 16, then set_session should be imported from the appropriate location of the tensorflow package.
from tensorflow-stocks-prediction-machine-learning-realtime.
Related Issues (17)
- No code ? HOT 4
- Some files for quick-start not Found HOT 2
- Can we use any other API as source instead of yahoo? HOT 1
- Requires Statement.py and realtime_model_POOL_driver.py HOT 5
- distplot is a deprecated and will be removed in seaborn v0.14.0.
- get_technical_indicators.py issue
- [Bug Report] there is a mismatch between the length of the header or column names and the actual data being read into a pandas DataFrame. This could result in some data loss or incorrect parsing of the CSV file.
- 0_API_alphavantage_get_old_history.py not working since alphavantage API url changed and non of this files are working HOT 8
- Stuck at first try, Using Alpaca is not working, alphavantage is not either. So come up with yahoo finance but technical indicator is not reading. HOT 1
- Respond to Multidimensional arrays feeding in tensorflow
- Proposal and some questions HOT 1
- Package pyine is yanked. Is it necessary? HOT 2
- Numpy requirement conflict during pip install. HOT 1
- possible collaboration? HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'plots_relations/best_selection_GOOG_neg.json' HOT 4
- Timescales HOT 1
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