createSource: Creating BigML Sources

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.

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

Details

createSource

References

https://bigml.com/developers/sources

Examples

Run this code

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

Run the code above in your browser using DataLab