Computes a DiscretizerModel that contains the cut points (splits) for each input feature.
Computes a DiscretizerModel that contains the cut points (splits) for each input feature.
Maximum number of buckets into which data points are grouped.
Maximum number of buckets into which data points are grouped. Must be >= 2. default: 2
Maximum number of elements to evaluate in each partition.
Maximum number of elements to evaluate in each partition. If this parameter is bigger then the evaluation phase will be sequentially performed. Must be >= 10,000. default: 10,000
:: Experimental :: MDLPDiscretizer trains a model to discretize vectors using a matrix of buckets (different values for aech feature).