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In CEEDesigns.GenerativeDesigns, while "distances" and "similarities" are provided by a user through a function call, an "uncertainty" is given as a type. See the following for reference:
data[!, ["RestingBP", "MaxHR", "Cholesterol", "FastingBS", "HeartDisease"]]; # the Mahalanobis distance only works with numeric features, so we selected a few, along with the target variable
target ="HeartDisease",
uncertainty = Entropy,
similarity =Exponential(; λ =5),
distance =MahalanobisDistance(; diagonal =1),
);
It may be worth unifying the style.
The text was updated successfully, but these errors were encountered:
Optimizes code in `distancebased.jl`.
Changes the way that an "uncertainty" is provided. That is,
while "distances" and "similarities" are provided by a user through
a function call, an "uncertainty" was originally given as a type.
Fixes#13
Improved documentation and added multiple fixes.
- Changed the way that an "uncertainty" is provided. That is,
while "distances" and "similarities" are provided by a user through
a function call, an "uncertainty" was originally given as a type. (#13)
- Optimized computations in `distance based.jl` (#11)
- Implemented a variant of sq. Mahalanobis distance
with missing entries, see https://www.jstor.org/stable/3559861
on page 285, fixes#12
- Renamed `MahalanobisDistance` to `SquaredMahalanobisDistance`
Fixes#11, #12, and #13
---------
Co-authored-by: Bíma, Jan <[email protected]>
In
CEEDesigns.GenerativeDesigns
, while "distances" and "similarities" are provided by a user through a function call, an "uncertainty" is given as a type. See the following for reference:CEEDesigns.jl/tutorials/GenerativeDesigns.jl
Lines 158 to 164 in d1d09c3
It may be worth unifying the style.
The text was updated successfully, but these errors were encountered: