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Utilizing the factory pattern for all serializable component (ie FeatureGenerator, LabelGenerator, ModelTrainer) arguments makes parallel processing much easier. The prediction/evaluation loop is implemented in a more hackneyed and verbose way; we can convert this, as well as all other components, in one fell swoop to improve readability and future parallelization.
The text was updated successfully, but these errors were encountered:
No functional change here, just some refactoring to make multiprocessing easier across the board
- Create factories for all components when pipeline is instantiated
- Refactor prediction/evaluations multiprocessing to use Predictor and ModelScorer factories
No functional change here, just some refactoring to make multiprocessing easier across the board
- Create factories for all components when pipeline is instantiated
- Refactor prediction/evaluations multiprocessing to use Predictor and ModelScorer factories
Utilizing the factory pattern for all serializable component (ie FeatureGenerator, LabelGenerator, ModelTrainer) arguments makes parallel processing much easier. The prediction/evaluation loop is implemented in a more hackneyed and verbose way; we can convert this, as well as all other components, in one fell swoop to improve readability and future parallelization.
The text was updated successfully, but these errors were encountered: