API Reference#
This section contains the complete API reference for PrxteinMPNN.
API Reference:
JacobianSpecificationJacobianSpecification.apc_batch_sizeJacobianSpecification.apc_residue_batch_sizeJacobianSpecification.combineJacobianSpecification.combine_batch_sizeJacobianSpecification.combine_fnJacobianSpecification.combine_fn_kwargsJacobianSpecification.combine_noise_batch_sizeJacobianSpecification.combine_weightsJacobianSpecification.compute_apcJacobianSpecification.jacobian_batch_sizeJacobianSpecification.noise_batch_sizeJacobianSpecification.output_h5_path
RunSpecificationRunSpecification.inputsRunSpecification.model_weightsRunSpecification.model_versionRunSpecification.batch_sizeRunSpecification.backbone_noiseRunSpecification.foldcomp_databaseRunSpecification.num_workersRunSpecification.ar_maskRunSpecification.random_seedRunSpecification.chain_idRunSpecification.modelRunSpecification.altlocRunSpecification.decoding_order_fnRunSpecification.conformational_statesRunSpecification.altlocRunSpecification.ar_maskRunSpecification.backbone_noiseRunSpecification.batch_sizeRunSpecification.chain_idRunSpecification.conformational_statesRunSpecification.decoding_order_fnRunSpecification.foldcomp_databaseRunSpecification.modelRunSpecification.model_versionRunSpecification.model_weightsRunSpecification.num_workersRunSpecification.random_seedRunSpecification.topologyRunSpecification.inputs
SamplingSpecificationScoringSpecificationScoringSpecification.sequences_to_scoreScoringSpecification.temperatureScoringSpecification.return_logitsScoringSpecification.return_decoding_ordersScoringSpecification.return_all_scoresScoringSpecification.score_batch_sizeScoringSpecification.output_h5_pathScoringSpecification.output_h5_pathScoringSpecification.return_all_scoresScoringSpecification.return_decoding_ordersScoringSpecification.return_logitsScoringSpecification.score_batch_sizeScoringSpecification.sequences_to_scoreScoringSpecification.temperature
categorical_jacobian()sample()score()- io: Input/Output for Structure and Trajectories
- mpnn: Fetch model parameters
- model: MPNN model architecture
- sampling: Sampling methods for MPNN
- scoring: Scoring functions for MPNN
- utils: Utility functions for MPNN