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Feature Bundles

Open abstractqqq opened this issue 2 years ago • 3 comments

Let's brainstorm some useful feature bundles (features that are likely to be generated together).

Some common ideas are:

  1. Diagnostic features. Features that detect anomaly in time seres.
  2. Pattern detection features.
  3. Features specific in certain domains.
  4. Features that are commonly used together in a variety of domain.
  5. etc...

@MathieuCayssol @topher-lo @vienneraphael

abstractqqq avatar Oct 11 '23 17:10 abstractqqq

For common diagnostic, e.g. stability of time series, the features below can be grouped.

  • absolute_maximum
  • count_above_mean
  • count_below_mean
  • longest_strike_above_mean
  • longest_strike_below_mean
  • mean_change
  • mean_abs_change
  • mean_n_absolute_max
  • number_crossings
  • range_count
  • ratio_beyond_r_sigma
  • coefficient of variation

I am thinking about adding a few features not in Tsfresh

  • greatest reversion from peak/max, value and percentage
  • max/min_change
  • longest downward/upward strike
  • average/median downward/upward strike

abstractqqq avatar Oct 11 '23 17:10 abstractqqq

Your suggested features are great for finance

topher-lo avatar Oct 12 '23 06:10 topher-lo

Compatibility with ML tracking tools like mlflow?

baggiponte avatar Oct 14 '23 14:10 baggiponte