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Fixed this error from happening when running this code:
tf.placeholder() is not compatible with eager execution.
at placeholder
raise RuntimeError("tf.placeholder() is not compatible with "
in array_ops.py: line 3341
at NetTrain
xs = tf.compat.v1.placeholder(tf.float32 in /QuantConnect/backtesting/./cache/algorithm/project/main.py: line 57
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* Python research import improvements
- Improve start.py for research env
- Remove unrequired imports
* Centralize algorithm imports
* Add regression test GH action
* Unit test python import clean up
* Join research and main imports
* More python import clean up
* Fix failing skipped regression algorithm
ChadBett