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Check dataset properly exponentiating relative to dimension
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.
Since this issue would greatly improve the user experience, it will be better placed with milestone 0.7.
This issue is related to #2300. Therefore, we'll relocate this to milestone 0.8.