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Normalize all numerical attributes to values between 0 and 1. The highest value is changed to 1 and the lowest value to 0.
normalize_mldata(mdata)
The mldr dataset to be normalized.
a new mldr object.
Other pre process: fill_sparse_mldata(), remove_attributes(), remove_labels(), remove_skewness_labels(), remove_unique_attributes(), remove_unlabeled_instances(), replace_nominal_attributes()
fill_sparse_mldata()
remove_attributes()
remove_labels()
remove_skewness_labels()
remove_unique_attributes()
remove_unlabeled_instances()
replace_nominal_attributes()
# NOT RUN { norm.toy <- normalize_mldata(toyml) # }
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