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Instead of assuming the user wants to reduce the data back to the original shape, allow the user to specify their own size (possibly dependent on level). Another idea would be to have a threshold variance parameter, which tells the alg how much variance you are will to compromise in teh dimensionality reduction. could be accomplished with the hyp.describe function
The text was updated successfully, but these errors were encountered:
andrewheusser
changed the title
in timecorr.py, make V a parameter
in levelup make V a parameter
Apr 25, 2018
Instead of assuming the user wants to reduce the data back to the original shape, allow the user to specify their own size (possibly dependent on level). Another idea would be to have a threshold variance parameter, which tells the alg how much variance you are will to compromise in teh dimensionality reduction. could be accomplished with the hyp.describe function
The text was updated successfully, but these errors were encountered: