neuromancer.modules package

Submodules

• neuromancer.modules.activations module
  • APLU
    • APLU.forward()
    • APLU.reg_error()
  • BLU
    • BLU.forward()
  • PELU
    • PELU.forward()
  • PReLU
    • PReLU.forward()
  • RectifiedSoftExp
    • RectifiedSoftExp.forward()
  • SmoothedReLU
    • SmoothedReLU.forward()
  • SoftExponential
    • SoftExponential.forward()
  • soft_exp()
• neuromancer.modules.blocks module
  • BasisLinear
    • BasisLinear.block_eval()
    • BasisLinear.reg_error()
  • BilinearTorch
    • BilinearTorch.block_eval()
    • BilinearTorch.reg_error()
  • Block
    • Block.block_eval()
    • Block.forward()
  • Dropout
    • Dropout.block_eval()
  • InputConvexNN
    • InputConvexNN.block_eval()
  • InteractionEmbeddingMLP
    • InteractionEmbeddingMLP.forward()
    • InteractionEmbeddingMLP.reg_error()
  • InterpolateAddMultiply
    • InterpolateAddMultiply.forward()
  • KAN
    • KAN.forward()
    • KAN.regularization_loss()
  • KANBlock
    • KANBlock.block_eval()
    • KANBlock.regularization_loss()
    • KANBlock.update_epoch()
    • KANBlock.update_grid()
  • KANLinear
    • KANLinear.b_splines()
    • KANLinear.curve2coeff()
    • KANLinear.forward()
    • KANLinear.regularization_loss()
    • KANLinear.reset_parameters()
    • KANLinear.scaled_spline_weight
    • KANLinear.update_grid()
  • Linear
    • Linear.block_eval()
    • Linear.reg_error()
  • MLP
    • MLP.block_eval()
    • MLP.reg_error()
  • MLPDropout
    • MLPDropout.block_eval()
    • MLPDropout.reg_error()
  • MLP_bounds
    • MLP_bounds.block_eval()
    • MLP_bounds.bound_methods
  • Poly2
    • Poly2.block_eval()
  • PosDef
    • PosDef.block_eval()
  • PytorchRNN
    • PytorchRNN.block_eval()
    • PytorchRNN.reg_error()
  • RNN
    • RNN.block_eval()
    • RNN.reg_error()
    • RNN.reset()
  • ResMLP
    • ResMLP.block_eval()
  • StackedMLP
    • StackedMLP.insize
    • StackedMLP.outsize
    • StackedMLP.bias
    • StackedMLP.linear_map
    • StackedMLP.nonlin
    • StackedMLP.h_sf_size
    • StackedMLP.n_stacked_mf_layers
    • StackedMLP.h_linear_sizes
    • StackedMLP.h_nonlinear_sizes
    • StackedMLP.linargs
    • StackedMLP.alpha_init
    • StackedMLP.verbose
    • StackedMLP.block_eval()
    • StackedMLP.get_alpha_loss()
  • Transformer
    • Transformer.block_eval()
    • Transformer.init_weights()
  • set_model_dropout_mode()
• neuromancer.modules.functions module
  • bounds_clamp()
  • bounds_scaling()
  • window_functions()
• neuromancer.modules.lopo module
  • ADMMSolver
    • ADMMSolver.forward()
  • DRSolver
    • DRSolver.forward()
  • ParaMetricDiagonal
    • ParaMetricDiagonal.forward()
    • ParaMetricDiagonal.scl_comp()
  • ProxBoxConstraint
    • ProxBoxConstraint.forward()
  • ProxObjectivePlusEqualityConstraint
    • ProxObjectivePlusEqualityConstraint.forward()
    • ProxObjectivePlusEqualityConstraint.prefactor()
• neuromancer.modules.rnn module
  • RNN
    • RNN.forward()
    • RNN.reg_error()
  • RNNCell
    • RNNCell.forward()
    • RNNCell.reg_error()
• neuromancer.modules.solvers module
  • GradientProjection
    • GradientProjection.con_viol_energy()
    • GradientProjection.forward()
  • IterativeSolver
    • IterativeSolver.con_values()
    • IterativeSolver.forward()
    • IterativeSolver.newton_step()
    • IterativeSolver.num_steps
  • Solver
    • Solver.forward()

Module contents