make_ensemble: Build a weighted ensemble list
In kmaurer/binsemble:

Gather all parameters of a weighted ensemble of RWeka models into formated list

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make_ensemble(train_preds = NULL, model_list = NULL, weightType = NULL,
  comb_rule = NULL, bin_type = "standard", bin_features = NULL,
  nbins = NULL, knn_size = 10, rotate = FALSE)

`model_list`	A list of pre trained models (using the same data as `train`)
`weightType`	How the ensemble should be weighted; "unweighted", "weighted", "bin weighted"
`comb_rule`	How the ensemble predictions should be comined; "average posterior","majority vote"
`bin_type`	How bins should be created when `weightType` is "bin weighted"; "average posterior","majority vote"
`bin_features`	The name of two numeric bins when `weightType` is "bin weighted"
`nbins`	The number of bins to create when `weightType` is "bin weighted"
`train_data`	Data on which to train the ensemble