Index A | C | E | F | G | M | P | R | S | T A ase_to_tensormap() (in module equisolve.utils.convert) C CUR (class in equisolve.numpy.feature_selection) (class in equisolve.numpy.sample_selection) E equisolve.numpy.feature_selection module equisolve.numpy.models module equisolve.numpy.preprocessing module equisolve.numpy.sample_selection module equisolve.utils.convert module equisolve.utils.metrics module equisolve.utils.split_data module F fit() (equisolve.numpy._selection.GreedySelector method) (equisolve.numpy.models.SorKernelRidge method) fit_transform() (equisolve.numpy._selection.GreedySelector method) FPS (class in equisolve.numpy.feature_selection) (class in equisolve.numpy.sample_selection) G GreedySelector (class in equisolve.numpy._selection) M module equisolve.numpy.feature_selection equisolve.numpy.models equisolve.numpy.preprocessing equisolve.numpy.sample_selection equisolve.utils.convert equisolve.utils.metrics equisolve.utils.split_data P predict() (equisolve.numpy.models.SorKernelRidge method) properties_to_tensormap() (in module equisolve.utils.convert) R Ridge (in module equisolve.numpy.models) rmse() (in module equisolve.utils.metrics) S selection_type (equisolve.numpy._selection.GreedySelector property) selector_arguments (equisolve.numpy._selection.GreedySelector property) selector_class (equisolve.numpy._selection.GreedySelector property) SorKernelRidge (class in equisolve.numpy.models) split_data() (in module equisolve.utils.split_data) StandardScaler (in module equisolve.numpy.preprocessing) support (equisolve.numpy._selection.GreedySelector property) T transform() (equisolve.numpy._selection.GreedySelector method)