createModel {bigml} | R Documentation |
Creating BigML Models
createModel(dataset_id, input_field_ids = NULL, name = NULL, objective_field_ids = NULL, range = NULL, ...)
dataset_id |
the relevant dataset_id used to create the model. |
input_field_ids |
a vector of field ids to use for training. |
name |
the name to give to the model. |
objective_field_ids |
a vector of objective fields used for training. |
range |
a vector of two values that define a range of instances from the dataset to train on. |
... |
Arbitrary named arguments that are passed on to
|
This function needs to use id information from existing R resources. See the references for more details.
model_return
Leon Hwang hwang@bigml.com
https://bigml.com/developers/models
https://bigml.com/developers/datasets
Other model methods: getModel
;
listModels
; quickModel
## Not run: # simple example m1 = createModel("dataset/1") # configure a number of different parameters m2 = createModel("dataset/2", input_field_ids=c('000001'), objective_field_ids='000003', name='test', range = c(10,1000)) ## End(Not run)