Implement getters.
parent
de92e1309d
commit
52664eb40b
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@ -40,8 +40,10 @@ class SensorFeatures:
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self.df_proximity = proximity.recode_proximity(self.df_proximity)
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def get_sensor_data(self, data_type) -> pd.DataFrame:
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# TODO implement the getter (Check if it has been set.)
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return self.df_proximity
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if data_type == "proximity":
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return self.df_proximity
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else:
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raise KeyError("This data type has not been implemented.")
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def calculate_features(self):
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if "proximity" in self.data_types:
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@ -50,9 +52,13 @@ class SensorFeatures:
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)
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# TODO Think about joining dataframes.
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def get_features(self, data_type) -> pd.DataFrame:
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# TODO implement the getter (Check if it has been set.)
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return self.df_proximity_counts
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def get_features(self, data_type, feature_names) -> pd.DataFrame:
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if data_type == "proximity":
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if feature_names == "all":
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feature_names = proximity.FEATURES_PROXIMITY
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return self.df_proximity_counts[feature_names]
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else:
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raise KeyError("This data type has not been implemented.")
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class MachineLearningPipeline:
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