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Drop NaN targets. 

This mirrors INNER join in merge_features_and_targets_for_individual_model.py:

data = pd.concat([sensor_features, targets[["target"]]], axis=1, join="inner")
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junos 2022-04-12 17:01:49 +02:00
parent 9f5edf1c2b
commit a6a37c7bd9
1 changed files with 1 additions and 0 deletions
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src/models/select_targets.py
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@ -6,5 +6,6 @@ cleaned_sensor_features = pd.read_csv(snakemake.input["cleaned_sensor_features"]
target_variable_name = snakemake.params["target_variable"] target_variable_name = snakemake.params["target_variable"]
model_input = retain_target_column(cleaned_sensor_features, target_variable_name) model_input = retain_target_column(cleaned_sensor_features, target_variable_name)
model_input.dropna(axis ="index", how="any", subset=["target"], inplace=True)
model_input.to_csv(snakemake.output[0], index=False) model_input.to_csv(snakemake.output[0], index=False)