Comments (1)
Hi @sohrabtowfighi , thanks for the feedback but it feels a bit out of scope for this project. However, this could be easily implemented by the user by iterating over a warm_start
and adding a new generation one at a time, and then stopping once your timer has reached whatever threshold you need. See http://gplearn.readthedocs.io/en/stable/advanced.html#continuing-evolution-with-warm-start for how to use.
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Related Issues (20)
- Add conda installation instructions
- migrate to a toml file instead of setup.py?
- how programs converge technically and use less time in later generations
- normalization for input? HOT 1
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- Solution to avoid dividing by zero when substructing two Feature Names HOT 3
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- const_range error HOT 6
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