Getting Started

For a high-level introduction to what NuPIC is and why it exists, see this YouTube video of our presentation at OSCON from July, 2013.

Getting the code (read-only)

Create a Github account if you don't have one already.
Install git.
Generate a key pair for Github
Follow the Github instructions to fork and clone the repository and set up an upstream remote.

Available howtos for Running NuPIC on:

Make sure libtoolize is installed. On OS X, install homebrew if you don't have it, then run brew install libtool.

Read about the Online Prediction Framework
Look through the simple model code in $NUPIC/examples/opf/clients/hotgym/hotgym.py
Check out other uses:
- Linguist - Learns text and predicts upcoming letters.
- Spatial classification is a classification/clustering task where we classify (=assign labels) to data (one or more input fields)
- Temporal classification here time plays a role. We try to say "the sequence A-B-C-D looks like LabelABCDSequence"
- Prediction to predict next (nth step) value in future.
- Anomaly detection to say how weird/unexpected your input sample is.
- just create a SDR of the data.