| check_feature_data | check featuredata is numeric |
| drop_missing_cols | drop feature columns with missing values |
| drop_missing_rows | drop rows with missing values |
| find_correlated | returns feature names to keep, without highly correlated... |
| get_feature_cols | return feature column names |
| get_featuredata | return featuredata |
| get_feature_index | return feature column indices |
| get_metadata | return metadata |
| get_metadata_cols | return metadata column names |
| get_metadata_index | return featuredata column indices |
| glog | Generalised log transformation |
| impute_missing | impute missing values |
| normalise | normalise against negative control |
| pca | principal component analysis |
| remove_correlated | remove one of pairs of highly correlated features |
| scale_features | scale feature columns |
| squash | Aggregate/collapse a grouped dataframe to an average |
| z_score | z_score |
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