Browse the handbook
From curious to capable.
Install Aner. Learn the language. Build an experiment.
Practical guides for working with data, models, and notebooks.
Install Aner
Choose your system and get ready to run.
Learn the language
Types, functions, and clear syntax.
Try an example
Run a program. Make it your own.
16 user guides
Get started with Aner
Install Aner, run your first program, and train a small classifier with the included modules.
Install Aner
Choose a native package, set up the aner command, and run programs on your computer.
Language reference
Variables, functions, static types, control flow, classes, and the current language contracts.
Objects and data structures
Private fields, public methods, generic classes, linked lists, trees, and memory behavior.
Classical machine learning
Fit KNN and K means models and evaluate predictions with the shared tensor and metrics modules.
Datasets and provenance
Load Iris and Wine offline with attribution, explicit splits, source hashes, and training only preprocessing.
Iris provenance
The exact UCI Iris source, known variants, feature metadata, and retained attribution.
Neural networks
Dense CPU networks, reverse mode differentiation, SGD, and concise train fitted classifier pipelines.
Typed CSV data
Declare a schema, inspect missingness, filter rows, and control managed execution buffers.
Wine provenance
The exact UCI Wine recognition source, class mapping, metadata limits, and attribution.
Aner in VS Code
Install the editor extension, write source files, and use notebooks with an installed Aner executable.
Installing binary packages
Verify a download, unpack its files, and use compatible interpreter and editor versions.
Interactive Aner notebooks
Use .anernb documents with native persistent sessions, Markdown, and images in VS Code.
Visual training reports
Capture actual CPU training steps and inspect bounded network, loss, and gradient information offline.
Dataset attribution
Upstream credits, CC BY 4.0 notices, source variants, and redistribution information for Iris and Wine.
Dataset license texts
Bundled legal text and the distinction between dataset licenses and Aner software licensing.