listSources: Listing BigML Sources

In bigml: Bindings for the BigML API

Description

Listing BigML Sources

Usage

listSources(flatten = TRUE, sources_only = TRUE, ...)

Arguments

flatten	A logical value indicating whether to flatten the response into a dataframe.
sources_only	A logical value indicating whether to only return the data frame of source information (only valid if flatten is TRUE).
...	Arbitrary named arguments that are passed on to formEncodeURL in order to create form-encoded URL options.

Value

If flatten is TRUE, and sources_only = TRUE a data frame of:

category	numeric
code	numeric
content_type	factor
created	factor
credits	numeric
description	factor
file_name	factor
md5	factor
name	factor
number_of_datasets	numeric
number_of_models	numeric
number_of_predictions	numeric
private	logical
resource	factor
size	numeric
source_parser.header	logical
source_parser.locale	factor
source_parser.missing_tokens	factor
source_parser.quote	factor
source_parser.separator	factor
source_parser.trim	logical
status.code	numeric
status.elapsed	numeric
status.message	factor
type	numeric
updated	factor

If flatten is TRUE and sources_only = FALSE a list of:

meta	list
sources	data.frame
fields	data.frame

If flatten is FALSE a list of:

meta	list
objects	list

see references for more details

Author(s)

Leon Hwang [e-mail]

References

https://bigml.com/developers/sources

See Also

Other source methods: createSource; getSource; quickSource

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