The DataRobot prediction engine requires a CSV file containing the data to be used in prediction, and this has been implemented here in two ways. The first and simpler is to specify dataSource as the name of this CSV file, but for the convenience of those who wish to work with dataframes, this function also provides the option of specifying a dataframe, which is then written to a CSV file and uploaded to the DataRobot server.
UploadPredictionDataset(project, dataSource, maxWait = 600)
Either (1) a character string giving the unique alphanumeric identifier for the project, or (2) a list containing the element projectId with this identifier.
Either (a) the name of a CSV file (b) a dataframe or (c) url to publicly available file; in each case, this parameter identifies the source of the data for which predictions will be calculated.
The maximum time (in seconds) to wait for each of two steps: (1) The initial dataset upload request, and (2) data processing that occurs after receiving the response to this initial request.
list with the following 6 components:
Character: string giving the unique alphanumeric identifier for the dataset
Numeric: number of columns in dataset
Character: Name of dataset file
Character: Time of upload
Character: string giving the unique alphanumeric identifier for the project
Numeric: number of rows in dataset
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