Support JSON for input/output
Several custom algorithms I use are designed expecting input in JSON format. This is ideal for integrating with a web service, but unfortunately ML Azure doesn't seem to support it.
JSON parsing is not yet implemented as a separate module. As a workaround for JSON parsing, you could use Execute R Script in following manner:
1. Compress the JSON file as zip package and upload to ML Studio as .zip format file.
2. Connect the .zip file to Execute R Script rightmost port
3. Execute following R script (replace “sample_json.txt” with your file name).
data.set = ldply(fromJSON(content=“src/sample_json.txt”))
Note that this assumes your JSON file holds an array of similar records.
please provide the c# sample code for that
Amri Oussama commented
Any news about this topic ?
Juan C. Andreu commented
We need json input, specially when getting data from a webservice. WHO RETURNS CSV ANYMORE?