createDataset: Creating BigML Datasets
In bigml: Bindings for the BigML API

Description Usage Arguments Details Value Author(s) References See Also Examples

Creating BigML Datasets

1	createDataset(source_id, field_ids = NULL, name = NULL, size = NULL, ...)

`source_id`	The relevant source id used to build the dataset.
`field_ids`	A list of field ids and field properties. See example.
`name`	The name for the dataset.
`size`	The amount (in bytes) of the source to use for creating the dataset.
`...`	Arbitrary named arguments that are passed on to `formEncodeURL` in order to create form-encoded URL options.

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

`category`	numeric
`code`	numeric
`content_type`	character
`created`	character
`credits`	numeric
`description`	character
`fields`	data.frame (or list if flatten=FALSE)
`file_name`	character
`md5`	character
`name`	character
`number_of_datasets`	numeric
`number_of_models`	numeric
`number_of_predictions`	numeric
`private`	logical
`resource`	character
`size`	numeric
`source_parser`	list
`status`	list
`tags`	AsIs
`type`	numeric
`updated`	character

Leon Hwang hwang@bigml.com

https://bigml.com/developers/datasets

Other dataset methods: getDataset; listDatasets; quickDataset

## Not run: 
# simple create dataset example
createDataset("source/1")
# configure a number of different parameters
createDataset("source/2", field_ids=c('000001'), name='test', size=10)

## End(Not run)