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REF-1523-Recursive feature ranking/evolution #86
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Looks good.
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Can't wait to try it out!
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Nice refactoring and automation of evolution!
Would be nice to note whether the MI evolution works in any way, since this seems a bit experimental.
The projections seems like a good idea, since the old evolution had a relatively large drop for longer feature sets... It might be worth investigating the optimal dimensions, though.
tmp_feature = input_dataframe[feature].tolist() | ||
for enx, el in enumerate(tmp_feature): | ||
combined_feature[enx] = str( | ||
internal_hash( |
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do we still need internal_hash?
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yeah, for now
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logger = logging.getLogger('syn-logger') | ||
logger.setLevel(logging.DEBUG) | ||
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num_folds = 4 | ||
NUM_FOLDS = 2 | ||
SVD_DIMS = 2 |
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why 2?
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Just a default for now, was fast.
Refurbished a bit
https://jira.outbrain.com/browse/REF-1523