Summary
Barroso, M., & Daniel, H. G. (2024). AI Model Collection (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10957139
Python AI Model classes used in the context of Knowledge EU Project
The models implemented are:
- Autogluon tabular model
- Classifier and Regressor sklearn models, lightgbm, xgboost, catboost
- Tensorflow keras deep learning models using different architectures, pretrained NN and finetuning strategies.
All the models inherit from a general abstract class that implements the following methods:
- fit
- predict
- evaluate
- _load_model
- _save_model
- to_pmml
- from_pmml
- to_onnx
- from_onnx
- get_metadata
All the models can be converted to PMML or ONNX standards.
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| Web resources: | https://doi.org/10.5281/zenodo.10957139 |
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![Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]](https://portal-files-production.s3.eu-central-1.amazonaws.com/preview/181121-1a38ea49a715de4ec1d0-knowledgecroppedlogonotitle1.png)
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![Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]](https://portal-files-production.s3.eu-central-1.amazonaws.com/thumbnail/181121-1a38ea49a715de4ec1d0-knowledgecroppedlogonotitle1.png)
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