label_period_candles = self._label_params.get(pair, {}).get(
"label_period_candles"
)
- if label_period_candles:
+ if isinstance(label_period_candles, int):
return label_period_candles
return self.freqai_info["feature_parameters"].get("label_period_candles", 50)
def get_label_natr_ratio(self, pair: str) -> float:
label_natr_ratio = self._label_params.get(pair, {}).get("label_natr_ratio")
- if label_natr_ratio:
+ if isinstance(label_natr_ratio, float):
return label_natr_ratio
return float(
self.freqai_info["feature_parameters"].get("label_natr_ratio", 6.0)
def set_freqai_targets(self, dataframe: DataFrame, metadata: dict, **kwargs):
pair = str(metadata.get("pair"))
+ label_period_candles = self.get_label_period_candles(pair)
+ label_natr_ratio = self.get_label_natr_ratio(pair)
pivots_indices, _, pivots_directions = zigzag(
dataframe,
- natr_period=self.get_label_period_candles(pair),
- natr_ratio=self.get_label_natr_ratio(pair),
+ natr_period=label_period_candles,
+ natr_ratio=label_natr_ratio,
)
dataframe[EXTREMA_COLUMN] = 0
if len(pivots_indices) == 0:
logger.warning(
- f"No extrema to label for pair {pair} with label_period_candles {self.get_label_period_candles(pair)} and label_natr_ratio {self.get_label_natr_ratio(pair):.2f}"
+ f"No extrema to label for pair {pair} with label_period_candles {label_period_candles} and label_natr_ratio {label_natr_ratio:.2f}"
)
else:
for pivot_idx, pivot_dir in zip(pivots_indices, pivots_directions):