secure_learning package
Initialization of the secure-learn package
Subpackages
- secure_learning.models package
- secure_learning.models.common_gradient_forms module
- secure_learning.models.grid_cv module
GridCV
ParameterCollection
ParameterCollection.alpha
ParameterCollection.class_weights
ParameterCollection.coef_init
ParameterCollection.eta0
ParameterCollection.exponentiation
ParameterCollection.minibatch_size
ParameterCollection.nr_maxiters
ParameterCollection.penalty
ParameterCollection.print_progress
ParameterCollection.secure_permutations
ParameterCollection.solver_type
ParameterCollection.tolerance
Parameters
- secure_learning.models.secure_elastic_nets module
- secure_learning.models.secure_lasso module
- secure_learning.models.secure_linear module
- secure_learning.models.secure_logistic module
- secure_learning.models.secure_model module
- secure_learning.models.secure_ridge module
- secure_learning.models.secure_svm module
- secure_learning.solvers package
- secure_learning.solvers.gd_solver module
- secure_learning.solvers.solver module
Solver
Solver.__init__()
Solver.__str__()
Solver.add_gradient_penalty_function()
Solver.compute_aggregated_differentiable_regularizer_penalty()
Solver.evaluate_gradient_function_for_minibatch()
Solver.evaluate_proximal_function()
Solver.has_proximal_function
Solver.init_solver()
Solver.inner_loop_calculation()
Solver.iterative_data_permutation()
Solver.name
Solver.nr_inner_iters
Solver.postprocessing()
Solver.preprocessing()
Solver.set_gradient_function()
Solver.set_proximal_function()
- secure_learning.utils package