simrun ❭ modular_reduced_model_inference ❭ reduced_model
reduced_model¶
Construct reduced models and run optimization.
This module provides a top-level class to run reduced model inference.
Each reduced model contains:
- a :py:class:~`DataView` object to access data
- a DataSplitEvaluation object to split data and evaluate the optimization results
- one or more DataExtractor objects to preprocess the data
- one or more _Strategy objects to run the optimization.
The optimization run optimizes a set of free parameters \(\mathbf{x}\) to minimize a cost function.
Both the cost function and the free parameters are defined in the _Strategy object.
Classes¶
Reduced model class. |
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Convenience wrapper class to access data. |
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Split data in training-test sets. |
Functions¶
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Convenience method to get a certain amount of workers per machine |