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Challenge Accepted 1.0.0a6+4.g54a3c18 documentation

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Challenge Accepted 1.0.0a6+4.g54a3c18 documentation

Home

Getting Started

Installation
Quickstart

User Guide

User’s Guide
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API

API
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- simba_ml
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  - error_handler
  - example_problems
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  - prediction
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    - logging
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      - logging_config
      - wandb_logger
    - normalizer
    - plugin_loader
    - preprocessing
    - steady_state
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      - config
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        steady_state_data_config
      - data_loader
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        dataset_generator
        
        mixed_data_loader
        
        splits
    - time_series
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      - config
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        mixed_data_pipeline
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        mixed_data_config
        
        pipeline_config
        
        synthetic_data_pipeline
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        pipeline_config
        
        synthetic_data_config
        
        time_series_config
        
        transfer_learning_pipeline
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        transfer_learning_data_config
        
        transfer_learning_pipeline_config
      - data_loader
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        mixed_data_loader
        
        splits
        
        synthetic_data_loader
        
        transfer_learning_data_loader
        
        window_generator
      - metrics
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        factory
        
        metrics
      - models
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        average_predictor
        
        factory
        
        keras
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        dense_neural_network
        
        keras_model
        
        last_value_predictor
        
        model
        
        model_to_transfer_learning_model
        
        pytorch_lightning
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        dense_neural_network
        
        pytorch_lightning_model
        
        sk_learn
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        decision_tree_regressor
        
        linear_regressor
        
        nearest_neighbors_regressor
        
        random_forest_regressor
        
        sk_learn_model
        
        support_vector_machine_regressor
        
        transfer_learning_factory
        
        transfer_learning_model
      - pipelines
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        mixed_data_pipeline
        
        synthetic_data_pipeline
        
        transfer_learning_pipeline
  - simulation
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    - constraints
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    - derivative_noiser
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    - distributions
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    - generators
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    - kinetic_parameters
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    - noisers
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    - sparsifier
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    - species
    - system_model
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      - system_model
      - system_model_interface
  - start_prediction

Contributing

Contributor’s Guide

About

Authors
Acknowledgements
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Copyright © 2022, Maximilian Kleissl; Björn Heyder; Julian Zabbarov; Lukas Drews

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