secure_learning package

Initialization of the secure-learn package

Subpackages

• secure_learning.models package
  • secure_learning.models.common_gradient_forms module
    • GradientFunction
    • WeightedDifferencesGradient
      • WeightedDifferencesGradient.__call__()
      • WeightedDifferencesGradient.__init__()
  • secure_learning.models.grid_cv module
    • GridCV
      • GridCV.__init__()
      • GridCV.best_param_set()
      • GridCV.cross_validation()
      • GridCV.results
      • GridCV.sorted_param_set()
    • 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
      • Parameters.alpha
      • Parameters.class_weights
      • Parameters.coef_init
      • Parameters.eta0
      • Parameters.exponentiation
      • Parameters.minibatch_size
      • Parameters.nr_maxiters
      • Parameters.penalty
      • Parameters.print_progress
      • Parameters.secure_permutations
      • Parameters.solver_type
      • Parameters.tolerance
  • secure_learning.models.secure_elastic_nets module
    • ElasticNets
      • ElasticNets.__init__()
      • ElasticNets.name
  • secure_learning.models.secure_lasso module
    • Lasso
      • Lasso.__init__()
      • Lasso.name
  • secure_learning.models.secure_linear module
    • Linear
      • Linear.__init__()
      • Linear.gradient_function()
      • Linear.name
      • Linear.predict()
      • Linear.score()
  • secure_learning.models.secure_logistic module
    • ClassWeightsTypes
      • ClassWeightsTypes.BALANCED
      • ClassWeightsTypes.EQUAL
    • ExponentiationTypes
      • ExponentiationTypes.APPROX
      • ExponentiationTypes.EXACT
      • ExponentiationTypes.NONE
    • Logistic
      • Logistic.__init__()
      • Logistic.class_weights
      • Logistic.class_weights_type
      • Logistic.gradient_function()
      • Logistic.name
      • Logistic.predict()
      • Logistic.reveal_class_weights()
      • Logistic.score()
  • secure_learning.models.secure_model module
    • Model
      • Model.__init__()
      • Model.__str__()
      • Model.compute_coef_mpc()
      • Model.cross_validate()
      • Model.gradient_function()
      • Model.initialize_solver()
      • Model.name
      • Model.predict()
      • Model.score()
      • Model.solver
    • PenaltyTypes
      • PenaltyTypes.ELASTICNET
      • PenaltyTypes.L1
      • PenaltyTypes.L2
      • PenaltyTypes.NONE
    • SolverTypes
      • SolverTypes.GD
  • secure_learning.models.secure_ridge module
    • Ridge
      • Ridge.__init__()
      • Ridge.name
  • secure_learning.models.secure_svm module
    • SVM
      • SVM.__init__()
      • SVM.gradient_function()
      • SVM.name
      • SVM.predict()
      • SVM.score()
• secure_learning.solvers package
  • secure_learning.solvers.gd_solver module
    • GD
      • GD.__init__()
      • GD.inner_loop_calculation()
      • GD.name
      • GD.preprocessing()
  • 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
  • secure_learning.utils.data_permutator module
    • SecureDataPermutator
      • SecureDataPermutator.__init__()
      • SecureDataPermutator.insecure_data_permutation()
      • SecureDataPermutator.refresh_seed()
      • SecureDataPermutator.secure_data_permutation()
      • SecureDataPermutator.seed
  • secure_learning.utils.matrix_augmenter module
    • MatrixAugmenter
      • MatrixAugmenter.__getitem__()
      • MatrixAugmenter.__init__()
      • MatrixAugmenter.__len__()
      • MatrixAugmenter.__str__()
      • MatrixAugmenter.augment()
      • MatrixAugmenter.delete()
      • MatrixAugmenter.keys()
      • MatrixAugmenter.retrieve()
      • MatrixAugmenter.shape
      • MatrixAugmenter.update()
      • MatrixAugmenter.update_key()
  • secure_learning.utils.types module
    • seq_to_list()
  • secure_learning.utils.util_matrix_vec module
    • mat_to_vec()
    • mat_vec_mult()
    • matrix_sum()
    • matrix_transpose()
    • mult_scalar_mul()
    • permute_matrix()
    • scale_vector_or_matrix()
    • vector_to_matrix()

• secure_learning.exceptions module
  • BaseSecureLearnError
  • MissingFunctionError
  • SecureLearnTypeError
  • SecureLearnUninitializedSolverError
  • SecureLearnValueError
  • UnknownPenaltyError
• secure_learning.metrics module
  • accuracy_score()
  • adj_r2_score()
  • f1_score()
  • mean_squared_error()
  • mean_squared_model()
  • precision_score()
  • r2_score()
  • recall_score()
• secure_learning.regularizers module
  • BaseRegularizer
  • DifferentiableRegularizer
    • DifferentiableRegularizer.__call__()
  • L1Regularizer
    • L1Regularizer.__call__()
    • L1Regularizer.__init__()
  • L2Regularizer
    • L2Regularizer.__call__()
    • L2Regularizer.__init__()
  • NonDifferentiableRegularizer
    • NonDifferentiableRegularizer.__call__()