16 lines
1.2 KiB
Markdown
16 lines
1.2 KiB
Markdown
# Development
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The architechture and functions of FreqAI are generalized to encourage users to develop their own features, functions, models, etc.
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The class structure and a detailed algorithmic overview is depicted in the following diagram:
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As shown, there are three distinct objects comprising FreqAI:
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* **IFreqaiModel** - A singular persistent object containing all the necessary logic to collect, store, and process data, engineer features, run training, and inference models.
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* **FreqaiDataKitchen** - A non-persistent object which is created uniquely for each unique asset/model. Beyond metadata, it also contains a variety of data processing tools.
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* **FreqaiDataDrawer** - A singular persistent object containing all the historical predictions, models, and save/load methods.
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There are a variety of built-in [prediction models](freqai-configuration.md#using-different-prediction-models) which inherit directly from `IFreqaiModel`. Each of these models have full access to all methods in `IFreqaiModel` and can therefore override any of those functions at will. However, advanced users will likely stick to overriding `fit()`, `train()`, `predict()`, and `data_cleaning_train/predict()`.
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