description: The Maglev load balancer implements
                                    consistent hashing to backend hosts.
                                  properties:
                                    tableSize:
                                      description: The table size for Maglev hashing.
                                      minimum: 0
                                      type: integer

                                  description: The Maglev load balancer implements
                                    consistent hashing to backend hosts.
                                  properties:
                                    tableSize:
                                      description: The table size for Maglev hashing.
                                      minimum: 0
                                      type: integer

                                  description: The Maglev load balancer implements
                                    consistent hashing to backend hosts.
                                  properties:
                                    tableSize:
                                      description: The table size for Maglev hashing.
                                      type: integer
                                  type: object

        multi-hot, or tf-idf encoded representations
    *   `CategoryCrossing`: create new categorical features representing
        co-occurrences of previous categorical feature values
    *   `Hashing`: the hashing trick, for large-vocabulary categorical features
    *   `Discretization`: turn continuous numerical features into categorical
        features by binning their values