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chore: auto-build schema.json

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Matthias
2025-03-11 07:10:37 +01:00
parent 5c01023d55
commit d69b1566b1
1 changed files with 42 additions and 8 deletions
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50
build_helpers/schema.json
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@@ -1366,10 +1366,10 @@
"type": "boolean",
"default": false
},
"keras": {
"description": "Use Keras for model training.",
"type": "boolean",
"default": false
"identifier": {
"description": "A unique ID for the current model. Must be changed when modifying features.",
"type": "string",
"default": "example"
},
"write_metrics_to_disk": {
"description": "Write metrics to disk?",
@@ -1399,16 +1399,50 @@
"type": "number",
"default": 7
},
"identifier": {
"description": "A unique ID for the current model. Must be changed when modifying features.",
"type": "string",
"default": "example"
"live_retrain_hours": {
"description": "Frequency of retraining during dry/live runs.",
"type": "number",
"default": 0
},
"expiration_hours": {
"description": "Avoid making predictions if a model is more than `expiration_hours` old. Defaults to 0 (no expiration).",
"type": "number",
"default": 0
},
"save_backtest_models": {
"description": "Save models to disk when running backtesting.",
"type": "boolean",
"default": false
},
"fit_live_predictions_candles": {
"description": "Number of historical candles to use for computing target (label) statistics from prediction data, instead of from the training dataset.",
"type": "boolean",
"default": false
},
"data_kitchen_thread_count": {
"description": "Designate the number of threads you want to use for data processing (outlier methods, normalization, etc.).",
"type": "integer"
},
"activate_tensorboard": {
"description": "Indicate whether or not to activate tensorboard",
"type": "boolean",
"default": true
},
"wait_for_training_iteration_on_reload": {
"description": "Wait for the next training iteration to complete after /reload or ctrl+c.",
"type": "boolean",
"default": true
},
"continual_learning": {
"description": "Use the final state of the most recently trained model as starting point for the new model, allowing for incremental learning.",
"type": "boolean",
"default": false
},
"keras": {
"description": "Use Keras for model training.",
"type": "boolean",
"default": false
},
"feature_parameters": {
"description": "The parameters used to engineer the feature set",
"type": "object",