Programs
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Programs

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Name Version Rating Creator Description
Simple_timeseries_prediction 10 (release) - tutorial_developer_basic This Program is part of the tutorial. This program takes a file under the parameter name "timeseries_input_file", which should be a CSV file containing a single line of data, with optionally a header. Performs a prediction on that timeseries and outputs it, as a headerless CSV file. This Program is similar to the program [[program:Demo_a_simple_timeseries_prediction]] that was introduced in the first part of this tutorial, except that it takes its input timeseries in a different way.
Extract_timeseries_from_simple_file 10 (release) - tutorial_developer_basic 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 [[symbol:timeseries_extracted_from_file]] Tag as well as [[symbol:format_csv_has_header]] and [[symbol: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.
User_input_text_keyword_extraction 10 (release) - tutorial_developer_basic This Program is part of the tutorial. This program is automatically executed by [[rule:Enrich-user-input-text-keyword-extraction]] whenever the user enters a text command. It performs basic Natural Language Processing to enrich the input. It takes a single text file as argument, with the name 'user_uploaded_file'. It performs the following actions: 1) It generates a [[symbol:user_input_has_been_analyzed]] Tag. 2) It generates a [[symbol:user_input_keyword]] Tag for each synonym of each of the words in the text. (This is really not very good NLP, but it's good enough for simple keyword recognition tasks.) (It probably won't take long until someone uploads a more professional NLP Program that renders this one obsolete.)
InternetTestProgram 3 (release) - Florian_Dietz