Noj

1 Preface

Noj gets you started with Clojure for data and science.

• You get a collection of good libraries out of the box
• .. and documentation that shows you how to use the different libraries together
• (and if you want: a ‘devcontainer’ setup which is known to work with the native parts of the libraries)

Noj is a library that does not add any API of its own. It includes the underlying libraries as dependencies, and adds documentation and integration tests. The included libraries either use tech.ml.dataset directly for tabular data structures or provide high interoperability with it.

1.1 General info

Website	https://scicloj.github.io/noj/
Source
Deps
Tests
License	EPLv1.0
Status	Beta stage.
Dev chat	#noj-dev at Clojurians Zulip
User chat	#data-science at Clojurians Zulip

1.2 Getting started

🎥📖 a revised version is coming soon🌟

1.3 Chapters of this book

• Overview

  • Underlying libraries

  • Other recommended libraries

  • Known issues ❗

• Datasets

  • Table processing with Tablecloth

  • Example Datasets

• Statistics

  • statistics_intro

  • Intro to Linear Regression - DRAFT 🛠

• Machine Learning

  • Machine learning pipelines

  • Machine learning

  • Preprocessing of categorical variables

  • AutoML using metamorph pipelines

  • Ordinary least squares with interactions

• Data Visualization

  • Data Visualization with Echarts

  • Visualizing correlation matrices (experimental) - DRAFT 🛠

• Linear Algebra

  • Intro to Linear Algebra - DRAFT 🛠

  • 2d and 3d geometry with fastmath.vector - DRAFT 🛠

  • Word embeddings with fastmath.vector - DRAFT 🛠

  • Linear transformations with fastmath.matrix - DRAFT 🛠

• Use Cases

  • Analysing Chicago Bike Times - DRAFT 🛠

• Model references

  • Smile classification models reference - DRAFT 🛠

  • Smile regression models reference - DRAFT 🛠

  • Smile other models reference - DRAFT 🛠

  • Xgboost model reference - DRAFT 🛠

  • Sklearn model reference - DRAFT 🛠

  • Tribuo reference - DRAFT 🛠

  • Transformer reference - DRAFT 🛠

source: notebooks/index.clj