~~~~~~~~~~~~~~~~~~~ cuML API Reference ~~~~~~~~~~~~~~~~~~~ Preprocessing ============== Model Selection and Data Splitting ---------------------------------- .. automodule:: cuml.preprocessing.model_selection :members: Label Encoding -------------- .. autoclass:: cuml.preprocessing.LabelEncoder :members: Regression and Classification ============================= Linear Regression ----------------- .. autoclass:: cuml.LinearRegression :members: Logistic Regression ----------------- .. autoclass:: cuml.LogisticRegression :members: Ridge Regression ---------------- .. autoclass:: cuml.Ridge :members: Lasso Regression ---------------- .. autoclass:: cuml.Lasso :members: ElasticNet Regression --------------------- .. autoclass:: cuml.ElasticNet :members: Stochastic Gradient Descent --------------------------- .. autoclass:: cuml.SGD :members: Random Forest ------------- .. autoclass:: cuml.ensemble.RandomForestClassifier :members: Quasi-Newton ------------ .. autoclass:: cuml.QN :members: Clustering ========== K-Means Clustering -------------------- .. autoclass:: cuml.KMeans :members: DBSCAN ------- .. autoclass:: cuml.DBSCAN :members: Dimensionality Reduction and Manifold Learning ============================================== Principal Component Analysis ----------------------------- .. autoclass:: cuml.PCA :members: Truncated SVD -------------- .. autoclass:: cuml.TruncatedSVD :members: UMAP ------------- .. autoclass:: cuml.UMAP :members: Random Projections ------------------ .. autoclass:: cuml.random_projection.GaussianRandomProjection :members: .. autoclass:: cuml.random_projection.SparseRandomProjection :members: Neighbors ========== Nearest Neighbors ----------------- .. autoclass:: cuml.NearestNeighbors :members: Time Series ============ Kalman Filter ------------- .. autoclass:: cuml.KalmanFilter :members: