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Commit
·
09418f5
1
Parent(s):
04383e2
fix: numpy to dataframe
Browse files
core-model-prediction/random_forest_model.py
CHANGED
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@@ -15,7 +15,8 @@ class RandomForestModel:
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def preprocess_input(self, secondary_model_features: List[float]) -> np.ndarray:
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features_df = pd.DataFrame([secondary_model_features], columns=[
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self.secondary_model_features])
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-
features_df = self.scaler.transform(
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return features_df.values.astype(np.float32).reshape(1, -1)
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def predict(self, secondary_model_features: List[float]):
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def preprocess_input(self, secondary_model_features: List[float]) -> np.ndarray:
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features_df = pd.DataFrame([secondary_model_features], columns=[
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self.secondary_model_features])
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+
features_df[self.secondary_model_features] = self.scaler.transform(
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features_df[self.secondary_model_features])
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return features_df.values.astype(np.float32).reshape(1, -1)
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def predict(self, secondary_model_features: List[float]):
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