Comments (1)
nicodv
commented on July 25, 2024
No documentation yet, sorry about that. (#28)
The mapping between the original categorical values and the {0, 1, 2, ...} values you see in the cluster centroids is not based on alphabet. Instead, you can look at kprotoypes.enc_map_ how the mapping is defined.
This is how it works in the version 0.6, but in version 0.7 this has changed. Instead of presenting the categorical mapping, it will simply show the original categorical values in the cluster centroids. That way, you don't have to concern yourself with that mapping at all.
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Related Issues (20)
- k-prototype seems to focus on one continuous variable HOT 1
- Reduce memory usage in array initialization HOT 2
- GPU ( cuda ) support? HOT 1
- Add L1 as a dissimilarity function option for continuous variables HOT 1
- Performance over binary data HOT 1
- parallelization HOT 4
- KPrototypes fit_predict fails with sample_weight HOT 2
- Apologies if this is redundant but I could not find documentation ... how do you extract class membership from an object created by the function KPrototypes HOT 1
- What are the minimum characteristics that a binary matrix must meet to avoid the following error: "Insufficient Number of data since union is 0"? HOT 1
- ValueError: All arrays must be of the same length HOT 3
- Euclidean distance definiton lacks a square root HOT 2
- Support Arm64 macos HOT 1
- Please add conda installation information HOT 1
- Different clusters when K-Prototypes trained on same data in numpy array and pandas dataframe HOT 1
- Li
- Estimation of Gamma in K-Prototypes HOT 1
- [BUG] Badge not rendering in readme HOT 2
- Incorrect dtype conversion of categoricals when dealing with manually assigned centroids HOT 2
- Create equal-sized clusters within kmodes HOT 1
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