remove non-catboost stuff from schema
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@ -498,6 +498,12 @@ CONF_SCHEMA = {
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"weight_factor": {"type": "number", "default": 0},
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"principal_component_analysis": {"type": "boolean", "default": False},
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"use_SVM_to_remove_outliers": {"type": "boolean", "default": False},
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"svm_params": {"type": "object",
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"properties": {
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"shuffle": {"type": "boolean", "default": False},
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"nu": {"type": "number", "default": 0.1}
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},
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}
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},
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"required": ["include_timeframes", "include_corr_pairlist", ]
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},
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@ -511,10 +517,7 @@ CONF_SCHEMA = {
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"model_training_parameters": {
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"type": "object",
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"properties": {
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"n_estimators": {"type": "integer", "default": 2000},
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"random_state": {"type": "integer", "default": 1},
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"learning_rate": {"type": "number", "default": 0.02},
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"task_type": {"type": "string", "default": "CPU"},
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"n_estimators": {"type": "integer", "default": 1000}
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},
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},
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},
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@ -93,8 +93,8 @@ class FreqaiExampleStrategy(IStrategy):
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informative[f"%-{coin}rsi-period_{t}"] = ta.RSI(informative, timeperiod=t)
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informative[f"%-{coin}mfi-period_{t}"] = ta.MFI(informative, timeperiod=t)
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informative[f"%-{coin}adx-period_{t}"] = ta.ADX(informative, window=t)
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informative[f"{coin}sma-period_{t}"] = ta.SMA(informative, timeperiod=t)
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informative[f"{coin}ema-period_{t}"] = ta.EMA(informative, timeperiod=t)
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informative[f"%-{coin}sma-period_{t}"] = ta.SMA(informative, timeperiod=t)
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informative[f"%-{coin}ema-period_{t}"] = ta.EMA(informative, timeperiod=t)
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informative[f"%-{coin}mfi-period_{t}"] = ta.MFI(informative, timeperiod=t)
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