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Simple time series conversational engine

Posted 10 years ago

Ten months ago I made a movie demonstrating a simple time series conversational engine. (I opened my "Quantile regression" presentation at WTC 2014 with that movie.)

Today I published a blog post that discusses the design and programming of the conversational engine: Simple time series conversational engine .

The conversational engine responds to commands for:

  1. loading time series data (weather data, stock data, or data files),
  2. finding outliers,
  3. analysis by curve fitting,
  4. plotting, and
  5. help and state changes.

A package with all of the code of the conversational engine can be downloaded from GitHub, [12] and executed with Import:


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More about functional parsers, which were essential for the building of the conversational engine, can be read in "Functional parsers" by Fokker.

Here are some commands to try:

  • load temperature for Atlanta
  • load stock price of NYSE:AAPL
  • find regression quantile for temperature of Atlanta
  • find outliers for temperature of Atlanta
  • least squares fit with Join[{1,x},Table[Sin[i*x/10^6.],{i,0,10}]]
POSTED BY: Anton Antonov
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