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feat: add missing freqAI parameters to config schema

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Matthias
2025-03-11 07:09:46 +01:00
parent 97d303579a
commit 5c01023d55
1 changed files with 47 additions and 9 deletions
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56
freqtrade/configuration/config_schema.py
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@@ -965,10 +965,13 @@ CONF_SCHEMA = {
"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?",
@@ -1000,13 +1003,43 @@ CONF_SCHEMA = {
"type": "number",
"default": 7,
},
"identifier": {
"live_retrain_hours": {
"description": "Frequency of retraining during dry/live runs.",
"type": "number",
"default": 0,
},
"expiration_hours": {
"description": (
"A unique ID for the current model. "
"Must be changed when modifying features."
"Avoid making predictions if a model is more than `expiration_hours` "
"old. Defaults to 0 (no expiration)."
),
"type": "string",
"default": "example",
"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": (
@@ -1024,6 +1057,11 @@ CONF_SCHEMA = {
"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",