feat: add freqAI remaining parameters

This commit is contained in:
Matthias
2024-07-26 20:27:47 +02:00
parent 06bbcf4c9f
commit a368c00302

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@@ -975,15 +975,56 @@ CONF_SCHEMA = {
"freqai": {
"type": "object",
"properties": {
"enabled": {"type": "boolean", "default": False},
"keras": {"type": "boolean", "default": False},
"write_metrics_to_disk": {"type": "boolean", "default": False},
"purge_old_models": {"type": ["boolean", "number"], "default": 2},
"conv_width": {"type": "integer", "default": 1},
"train_period_days": {"type": "integer", "default": 0},
"backtest_period_days": {"type": "number", "default": 7},
"identifier": {"type": "string", "default": "example"},
"enabled": {
"description": "Whether freqAI is enabled.",
"type": "boolean",
"default": False,
},
"keras": {
"description": "Use Keras for model training.",
"type": "boolean",
"default": False,
},
"write_metrics_to_disk": {
"description": "Write metrics to disk?",
"type": "boolean",
"default": False,
},
"purge_old_models": {
"description": "Number of models to keep on disk.",
"type": ["boolean", "number"],
"default": 2,
},
"conv_width": {
"description": "The width of a neural network input tensor.",
"type": "integer",
"default": 1,
},
"train_period_days": {
"description": (
"Number of days to use for the training data (width of the sliding window)"
),
"type": "integer",
"default": 0,
},
"backtest_period_days": {
"description": (
"Number of days to inference from the trained model before sliding the "
"`train_period_days` window "
),
"type": "number",
"default": 7,
},
"identifier": {
"description": (
"A unique ID for the current model. "
"Must be changed when modifying features."
),
"type": "string",
"default": "example",
},
"feature_parameters": {
"description": "The parameters used to engineer the feature set",
"type": "object",
"properties": {
"include_corr_pairlist": {