download.intermediate.dataset: Download a dataset from an AzureML experiment module.

In RevolutionAnalytics/AzureML: Interface with Azure Machine Learning Datasets, Experiments and Web Services

Description

Allows you to download the data from certain types of modules in AzureML experiments. You can generate the information required from AzureML Studio by (right) clicking on a module output port and selecting the option "Generate Data Access Code...".

Usage

download.intermediate.dataset(ws, experiment, node_id,
  port_name = "Results dataset", data_type_id = "GenericCSV", ...)

Arguments

ws	An AzureML workspace reference returned by workspace.
experiment	AzureML experiment ID.
node_id	Experiment node ID.
port_name	Experiment port name. The default is "Results dataset".
data_type_id	Experiment data type id. The default is "GenericCSV". See the note below for other types.
...	Optional arguments to pass to read.table for CSV or TSV DataTypeIds. For example, specify stringsAsFactors=TRUE if you wish, or any other valid argument to read.table.

Value

In most cases a data frame. Exceptions are: a raw vector for DataTypeId="Zip" and character vector for DataTypeId="PlainText"

Note

TSV- and CSV-formatted datasets return data frame results with stringsAsFactors=FALSE by default (independently of the global stringsAsFactors option).

Supported DataTypeId options

This function can download datasets with various CSV and TSV DataTypeId (with or without headers), in addition to "ARFF", "PlainText" and "Zip". Other "DataTypeIds" return an error. See the AzureML Data Format Conversion modules to convert data to a supported format.

See Also

workspace, datasets, read.table and download.datasets

Other dataset functions: datasets, delete.datasets, upload.dataset, workspace

Other experiment functions: experiments, workspace

RevolutionAnalytics/AzureML documentation built on July 28, 2019, 4:50 a.m.