Add autopurge feature so that FreqAI cleans up after itself when it no longer needs old models on disk
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@@ -423,6 +423,21 @@ by a leader with the same `identifier`. In this example, the user has a leader b
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`identifier: "example"` already running or launching simultaneously as the present follower.
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The follower will load models created by the leader and inference them to obtain predictions.
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### Purging old model data
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FreqAI stores new model files each time it retrains. These files become obsolete as new models
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are trained and FreqAI adapts to the new market conditions. Users planning to leave FreqAI running
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for extended periods of time with high frequency retraining should set `purge_old_models` in their
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config:
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```json
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"freqai": {
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"purge_old_models": true,
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}
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```
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which will automatically purge all models older than the two most recently trained ones.
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<!-- ## Dynamic target expectation
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The labels used for model training have a unique statistical distribution for each separate model training.
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