createSource: Creating BigML Sources

In bigml: Bindings for the BigML API

Description

Creating BigML Sources

Usage

createSource(file_name, name = basename(file_name), header = TRUE,
  locale = "en-US", missing_tokens = c("NA"),
  quote = "\"", separator = ",", trim = TRUE, flatten = TRUE, ...)

Arguments

file_name	A string giving a file location
name	A string specifying the name of the source
header	logical; TRUE if data contains name information, false otherwise.
locale	A string giving the locale (defaults to en-US).
missing_tokens	A vector of character strings that will be used to specify missing values in a file name.
quote	A string specifying the quoting character used.
separator	the separator character used when a file name is specified.
trim	A logical value indicating whether white space should be trimmed.
flatten	A logical value indicating whether or not the returned field objects should be "flattened" into a data frame.
...	Arbitrary named arguments that are passed on to formEncodeURL in order to create form-encoded URL options.

Details

createSource

Value

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

Author(s)

Leon Hwang [e-mail]

References

https://bigml.com/developers/sources

See Also

Other source methods: getSource; listSources; quickSource

Examples

## Not run: 
# simple example
m1 = createSource("/tmp/iris.csv")


## End(Not run)

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