Description Usage Arguments Details Value Author(s) References See Also Examples
Quickly Creating BigML Datasets
1 2 3 |
data |
A matrix or data frame containing data to upload to bigml. |
fields |
A vector of names in |
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
|
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
1 2 3 4 5 6 7 8 | ## 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)
|
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