quickDataset: Quickly Creating BigML Datasets
In bigml: Bindings for the BigML API

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

Quickly Creating BigML Datasets

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quickDataset(data, fields = names(data),
  name = paste(deparse(substitute(data)), "'s dataset", sep = ""),
  size = NULL, ...)

`data`	A matrix or data frame containing data to upload to bigml.
`fields`	A vector of names in `data` that should be used for creating the dataset.
`name`	A string giving the name for the dataset.
`size`	A numeric value giving the amount (in bytes) of the source to use.
`...`	Arbitrary named arguments that are passed on to `formEncodeURL` in order to create form-encoded URL options.

quickDataset will take its "data" dataframe argument and attempt to create an equivalent BigML dataset using quickSource. R "numeric" class fields will become "numeric" fields in the BigML dataset. R "character" class fields become "text" fields. R "factor" fields become "categorical" fields. However, if there are too many factors, BigML may convert the field to text. It is possible to specify the fields to include using the fields argument. This can be a a simple list of names that were present in the data argument. See 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: createDataset; getDataset; listDatasets

Other quick methods: quickModel; quickPrediction; quickSource

## Not run: 
# simple example
iris.d = quickDataset(iris)
# configure a number of different parameters
iris.d2 = quickDataset(iris, fields = c('Species', 'Sepal.length'),
	name='test', size=10000)

## End(Not run)