PrincetonUniversity / PsyNeuLink / 11972746306

84%

master: 84%

Build Type

push

github

Committed by web-flow

Commit Message

refactor/emcomposition_field_handling (#3122)

* • emcomposition.py
  _parse_fields:  clean up assignment of self.num_fields

• test_emcomposition.py
  add test_assign_field_weights_and_0_vs_None()
  add test_field_weights_all_None_and_or_0

• emcomposition.py
  - revamp docstring to document new mods
  - add fields arg to specify field_naes, field_weights, learn_field_weights
  - implement fields arg to specify field_names, field_weights, learn_field_weights in dict format
  - implement support for field-specific learn_field_weight specifications
  - _identify_target_nodes():
    refactor to use target_fields instead of learn_field_weights
  - add target_fields to fields specification dict
  - add dict spec for entries in fields arg
  - start adding field_idx to all components
  - add self._field_index_map

• pytorchEMcompositionwrapper.py
  - store_memory(): use self._field_index_map to assign memories to fields

• test_emcomposition.py
  - test_backpropagation_of_error_in_learning(): use EGO model to test for error backpropagation through EMCompoistion
  - test_field_args_and_map_assignments(): flesh out _field_index_map validation

* • emcomposition.py
  - update docstring figs
  - add purge_by_field_weights Parameter

* • autodiffcomposition.py
  - infer_backpropagation_learning_pathways(): add NodeRole.BIAS to pathways consructed for learning

Run Details

9458 of 12496 branches covered (75.69%)

Branch coverage included in aggregate %.

141 of 149 new or added lines in 4 files covered. (94.63%)

6 existing lines in 2 files now uncovered.

32778 of 37847 relevant lines covered (86.61%)

0.87 hits per line