change wording, switch FreqAI word format
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@@ -2,13 +2,13 @@
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## Project architecture
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The architechture and functions of FreqAI are generalized to encourages development of unique features, functions, models, etc.
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The architechture and functions of `FreqAI` are generalized to encourages development of unique 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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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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@@ -27,7 +27,7 @@ The file structure is automatically generated based on the model `identifier` se
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| Structure | Description |
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|-----------|-------------|
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| `config_*.json` | A copy of the model specific configuration file. |
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| `historic_predictions.pkl` | A file containing all historic predictions generated during the lifetime of the `identifier` model during live deployment. `historic_predictions.pkl` is used to reload the model after a crash or a config change. A backup file is always held incase of corruption on the main file. **FreqAI automatically detects corruption and replaces the corrupted file with the backup**. |
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| `historic_predictions.pkl` | A file containing all historic predictions generated during the lifetime of the `identifier` model during live deployment. `historic_predictions.pkl` is used to reload the model after a crash or a config change. A backup file is always held incase of corruption on the main file. **`FreqAI` automatically detects corruption and replaces the corrupted file with the backup**. |
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| `pair_dictionary.json` | A file containing the training queue as well as the on disk location of the most recently trained model. |
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| `sub-train-*_TIMESTAMP` | A folder containing all the files associated with a single model, such as: <br>
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|| `*_metadata.json` - Metadata for the model, such as normalization max/mins, expected training feature list, etc. <br>
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