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The data set contains 9 variables with 442 samples. The target variable for prediction in the following example is 'Depth'. The variable is also used to visually evaluate sampling quality via distribution plot.
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The following combinations of hyper parameters will be reviewed in this example:
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The following combinations of hyperparameters will be reviewed in this example:
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* K2 metric;
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* K2 metric with gaussian mixtures;
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* K2 metric with gaussian mixtures and logit nodes;
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* K2 metric with gaussian mixtures (GMM);
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* K2 metric with GMM and logit nodes;
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* K2 with initial structure.
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## K2 metric sampling example
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![k2](https://user-images.githubusercontent.com/86363785/188129119-dfa62b6d-b1fd-4e63-aa75-fb7aafba95a1.png)
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## Sampling with K2 + GMM example
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![geo_k2_gmm](https://user-images.githubusercontent.com/86363785/188129748-ce239eb4-bbab-43f0-9d80-c92483f27613.png)
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## Sampling with K2 + GMM + logit nodes example
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![geo_k2_gmm_logit](https://user-images.githubusercontent.com/86363785/188129774-a3695199-776d-493f-8a9c-bf78125f03fb.png)
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## K2 with initial structure sampling
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![geo_k2_expert](https://user-images.githubusercontent.com/86363785/188129863-b8777153-eb31-4e8f-b8bf-b87e7c959035.png)
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# Social data example |
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