createModel: Creating BigML Models

In bigml: Bindings for the BigML API

Description

Creating BigML Models

Usage

createModel(dataset_id, input_field_ids = NULL, name = NULL,
  objective_field_ids = NULL, range = NULL, ...)

Arguments

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 formEncodeURL in order to create form-encoded URL options.

Details

This function needs to use id information from existing R resources. See the references for more details.

Value

model_return

Author(s)

Leon Hwang [e-mail]

References

https://bigml.com/developers/models

https://bigml.com/developers/datasets

See Also

Other model methods: getModel; listModels; quickModel

Examples

## 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)

bigml documentation built on May 2, 2019, 2:06 a.m.