How-To Guides

How-to guides solve specific, practical problems. They assume you already know the basics. If you are new to PyHDC, start with the Five-Minute Quickstart and Tutorials first.

Guide	Problem solved
How to Choose the Right Encoding	Which encoding should I use for my task?
How to Bundle Hypervectors	How do I bundle multiple hypervectors?
How to Bind and Unbind Key-Value Pairs	How do I store and retrieve key-value pairs?
How to Compute Similarity	How do I compare hypervectors, including in batch?
How to Work with (D, N, M) Batches	How do I work with (D, N, M) batches?
How to Encode Sequences with Permutation	How do I encode sequences with permutation?
How to Use Operator Syntax	How do I use operator syntax for bundle, bind, and permute?
How to Switch Between Backends and Devices	How do I move between NumPy and PyTorch / GPU?
How to Make Experiments Reproducible	How do I make my experiments reproducible?
How to Remap Similarity Output to [0, 1]	How do I remap similarity output to [0, 1]?
How to Control Density in Sparse Binary Encodings	How do I keep sparse binary vectors from becoming dense?
How to Handle PyHDC Exceptions	How do I handle PyHDC errors gracefully?
How to Wrap Existing Arrays as Hypervectors	How do I wrap an existing NumPy array as a Hypervector?