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Transform a sparse dataset filling NA values to 0 or '' based on the column type. Text columns with numeric values will be modified to numerical.
fill_sparse_mldata(mdata)
The mldr dataset to be filled.
a new mldr object.
Other pre process: normalize_mldata(), remove_attributes(), remove_labels(), remove_skewness_labels(), remove_unique_attributes(), remove_unlabeled_instances(), replace_nominal_attributes()
normalize_mldata()
remove_attributes()
remove_labels()
remove_skewness_labels()
remove_unique_attributes()
remove_unlabeled_instances()
replace_nominal_attributes()
# NOT RUN { sparse.toy <- toyml sparse.toy$dataset$ratt10[sample(100, 30)] <- NA complete.toy <- fill_sparse_mldata(sparse.toy) # }
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