Version: 10 (release)
Newest release version: This is the newest release version of this Program.
Newest release or development version: This is the newest version of this Program.
This Program is part of the tutorial.
This program takes a file under the parameter name \"raw_timeseries_file\" and attempts to extract a timeseries from it that is properly formatted and cleaned to be suitable for further use by machine learning algorithms.
This is set up in such a way that multiple interpretations of the file can be returned, each of which receives a timeseries_extracted_from_file Tag as well as format_csv_has_header and format_csv_has_header Tags.
However, this Program is very simple and only works if the file it receives is already in a simple CSV format, so all it really does is check if the file has the correct format, then apply Tags indicating that format. It also generates only a single interpretation of the file, which is just the entire timeseries in the file.
Created: April 9, 2019, 4:56 p.m.
Docker Image: elody.com:444/extract_timeseries_from_simple_file@sha256:d46cd5a5479e99a941a8d4f8965e882cab73b686818aebbeb9ceba0049e7a48a
Source code: Run the following command in a terminal to download the source code: 'lod-tools download-program -f <destination_folder> --name "Extract_timeseries_from_simple_file" --version 10'
all versions of this Program:
Version 10 (release)