Add general information about the project here... Specific information about each model architecture is to be found under each model folder.
src/
|-- supervised/
| |-- base/
| | |-- ensemble.py
| | |-- knn.py
| | |-- linear.py
| | |-- svm.py
| | |-- tree.py
| |-- tree/
| | |-- decision_tree_classifier.py
| | |-- decision_tree_regressor.py
| |-- ensemble/
| | |-- random_forest_classifier.py
| | |-- random_forest_regressor.py
| | |-- adaboost_classifier.py
| | |-- adaboost_regressor.py
| | |-- gradient_boost_classifier.py
| | |-- gradient_boost_regressor.py
| |-- linear/
| | |-- linear_regression.py
| | |-- logistic_regression.py
| |-- svm/
| | |-- svm_classifier.py
| | |-- svm_regressor.py
| |-- knn/
| |-- knn_classifier.py
| |-- knn_regressor.py
|
|-- unsupervised/
| |-- base/
| | |-- clustering.py
| | |-- decomposition.py
| | |-- anomaly.py
| | |-- dimensionality.py
| |-- clustering/
| | |-- kmeans.py
| | |-- dbscan.py
| | |-- gmm.py
| |-- dimensionality/
| | |-- pca.py
| | |-- ica.py
| | |-- nmf.py
| | |-- tsne.py
| | |-- isomap.py
| | |-- svd.py
| |-- anomaly/
| |-- isolation_forest.py
| |-- one_class_svm.py
| |-- lof.py
| |-- robust_covariance.py
Other: agglomerative (clustering)
src/
|-- supervised/
| |-- base/
| | |-- tree.py
| | |-- linear.py
| | |-- ensemble.py
| | |-- svm.py
| | |-- knn.py
| |-- classification/
| | |-- decision_tree.py
| | |-- random_forest.py
| | |-- adabost.py
| | |-- gradient_boost.py
| | |-- knn.py
| | |-- logistic_regression.py
| | |-- svm.py
| |-- regression/
| |-- decision_tree.py
| |-- random_forest.py
| |-- adaboost.py
| |-- gradient_boost.py
| |-- linear_regression.py
| |-- svm.py
|
|-- unsupervised/
| |-- base/
| | |-- clustering.py
| | |-- decomposition.py
| | |-- anomaly.py
| | |-- dimensionality.py
| |-- clustering/
| | |-- kmeans.py
| | |-- dbscan.py
| | |-- gmm.py
| |-- dimensionality_reduction/
| | |-- pca.py
| | |-- ica.py
| | |-- nmf.py
| | |-- tsne.py
| | |-- isomap.py
| | |-- svd.py
| |-- anomaly_detection/
| |-- isolation_forest.py
| |-- one_class_svm.py
| |-- lof.py
| |-- robust_covariance.py