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Check dataset properly exponentiating relative to dimension

Open jeff1evesque opened this issue 9 years ago • 2 comments

We need to check if the dataset is properly exponentiating as the observation instances within the dataset grows. This logic should generally standardize the order magnitude that is acceptable, for general case kernels within svm. Specifically, this will only contain backend logic (python).

Scikit-learn implements the following SVC kernels:

  • linear
  • poly
  • rbf
  • sigmoid
  • precomputed

Scikit-learn implements the following SVR implements the following subset of kernels:

  • linear
  • poly
  • rbf

Note: this issue is inspired upon a conversation regarding using sample weather data.

jeff1evesque avatar Dec 03 '15 05:12 jeff1evesque

Since this issue would greatly improve the user experience, it will be better placed with milestone 0.7.

jeff1evesque avatar Jun 06 '16 04:06 jeff1evesque

This issue is related to #2300. Therefore, we'll relocate this to milestone 0.8.

jeff1evesque avatar Jun 10 '18 02:06 jeff1evesque