createPrediction: Creating BigML Predictions
In bigml: Bindings for the BigML API

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

Creating BigML Predictions

1 2	createPrediction(model_id, input_field_ids, name = NULL, prediction_only = TRUE, ...)

`model_id`	character string; the model id
`input_field_ids`	a list of input field ids and values to make a prediction for (see example).
`name`	character string; The given name for the prediction.
`prediction_only`	logical: Indicating whether the prediction should be returned as a simple value, or if the full response object should be returned.
`...`	Arbitrary named arguments that are passed on to `formEncodeURL` in order to create form-encoded URL options.

This function needs to use id information from existing R resources. See the references for more details.

atomic character or numeric value if prediction_only is TRUE, else return:

`category`	numeric
`code`	numeric
`created`	character
`credits`	numeric
`dataset`	character
`dataset_status`	logical
`description`	character
`fields`	list
`input_data`	numeric
`locale`	character
`model`	character
`model_status`	logical
`name`	character
`objective_fields`	character
`prediction`	character
`prediction_path`	list
`private`	logical
`resource`	character
`source`	character
`source_status`	logical
`status`	list
`tags`	AsIs
`updated`	character

Leon Hwang hwang@bigml.com

https://bigml.com/developers/predictions

Other prediction methods: getPrediction; quickPrediction

## Not run: 
# simple example
m1 = createPrediction("model/1",
	input_field_ids = c('000001'='somevalue', '000002'=9999))
# configure a number of different parameters
m2 = createPrediction("model/2",
	input_field_ids = c('000001'='somevalue', '000002'=9999),
	name='new prediction')

## End(Not run)