[TEST] C++ testing tracker

[cjnolet]

• [ ] DBSCAN (Phillip)
• [x] KNN ( Corey) #2210
• [ ] UMAP (Victor and Corey) #1985
• [ ] T-SNE
• [ ] Spectral clustering / embedding
• [ ] Random projection
• [ ] Random Forest
• [ ] K-Means
• [ ] Logistic regression (QN)
• [ ] Trustworthiness

Ideal tests for each algorithm should:

• Be parametrizable and test different variations of inputs
• Test internal componentry and make any necessary modifications to functions / components to make them more testable.

Other tests are parametrizable, but could still use more internal testing against more datasets:

• [ ] TSVD / PCA
• [ ] Linear regression (ols, lasso, ridge, cd)
• [ ] SGD

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[github-actions[bot]]

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