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The API could be simplified in a few places. For example:

  • In hyp.plot we could include an align flag that runs on the data if set to True (default: False).
  • In and we could include a ndimsflag that runs on the dataset prior to alignment if not None (default: None)
  • In and, if the data matrices don’t have the same numbers of features, we should zero-pad all of the matrices to ensure they have the same number of features as the matrix with the most features
  • in we could include align and ndims flags that pass the data through the appropriate other functions (, followed by so that the reduced/aligned data are returned from the start, without needed to save extra copies of the dataset

Issue Analytics

  • State:closed
  • Created 6 years ago
  • Comments:20 (14 by maintainers)

github_iconTop GitHub Comments

andrewheussercommented, Jun 5, 2017

all good! pushing to pip!

andrewheussercommented, Jun 2, 2017

@jeremymanning - re dataframes, we do not do any reordering. If the input data is a dataframe (or list of dfs) we:

  1. transform all text columns into binary dummy variables (see here leaving the numerical columns as they are
  2. turn the whole df into a np array
  3. optionally output the column labels if return_labels=True

I’ll add an issue to check to see if the column labels are the same across dfs when reducing. if they are the same, just out of order, they will be resorted.

@rarredon I will be working on hypertools all day today, so ping me if you need clarification as things come up!

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