Getting Started with Arthur

In this repository, you'll find sample projects of integrating machine learning models with Arthur, with tips on how to get the most out of the Arthur Python SDK. Each example shows you how to prepare data, register models with Arthur, send inferences to the platform, and use Arthur features to analyze model performance.

Data scientists and machine learning practitioners use Arthur to get insights about their models' performance and centralize their organization's use of AI in one unified system for tracking and analysis. You can find more information about the Arthur SDK and API on our documentation site.

Which examples should I use?

This sandbox contains many example projects of onboarding machine learning models to Arthur. Below, we describe which example makes sense for which user, and at the end provide a table to look up the features demonstrated in each example project.

If you are a free plan user:

Start here:

For a quickstart, check out the Credit Card Default example project for a beginner-friendly example.
It walks through onboarding a tabular binary classification model to the Arthur platform and showcases the full suite of Arthur features available to free plan users.

Then, check out these examples:

The MEPS Healthcare Utilization example project is another binary classification task, similar to the credit card default example project. The Boston Housing example project, a regression task that also demonstrates preparing the model with PySpark.

If you are an enterprise plan user:

With an enterprise account, you can use Arthur for Computer Vision (CV) and Natural Language Processing (NLP) models.

Start here:

Check out our Mars Rover example project, which receives images from an actual rover on Mars via the NASA API, and applies a computer vision model to perform image classification.

Then, check out these examples:

Three other examples show how to use Arthur with images and computer vision models. The Cancer Detection example project and Satellite Images example project both demonstrate image classification tasks, similar to the Mars rover example project. The Object Detection example project demonstrates using Arthur to monitor models that objects within images.

In addition, the Medical Transcripts example project demonstrates an NLP classification task.

Installing the SDK

To install the Arthur Python SDK, you can use the pip package manager, and run pip install arthurai at your command line.

Arthur Sandbox: Examples of Integrating with Arthur

For example, Arthur offers monitoring services for models used in Computer Vision (CV) and Natural Language Processing (NLP) applications. See the table below for a reference of examples in this repository.

Examples Directory

Example	Input Type	Output Type	Inference Type	Data Storage	Model Storage	Arthur Features	Frameworks
Credit Card Default	Tabular	Binary	Batch & stream	Local	Local	Performance, Drift, Visualization, Alerts, Bias, Explainability, Anomaly Detection, Hotspots, Bias Mitigation	Scikit-Learn
MEPS Healthcare	Tabular	Binary	Stream	Local	Local	Explainability	Scikit-Learn, NLTK
Boston Housing	Tabular	Regression	Batch	Local	Local	Explainability	Spark ML
Cancer Detection	Image	Binary	Stream	Arthur S3 Bucket	Local	Explainability	PyTorch
Mars Rover	Image	Object Detection	Stream	Nasa API and Arthur S3 Bucket	SageMaker	Explainability	Scikit-Learn, OpenCV, PyTorch
Object Detection	Image	Object Detection	Stream	Arthur S3 Bucket	Local	Explainability	OpenCV, TensorFlow
Satellite Images	Image	Binary	Batch	Arthur S3 Bucket	Local	Explainability	PyTorch
Medical Transcripts	NLP	Multiclass	Stream	Local	Local	Explainability	Scikit-Learn, NLTK
Headline Summarization	NLP	Generative Text	Stream	Huggingface SDK	Huggingface SDK	Coming Soon!	Huggingface
Comparing LLMs	NLP	Generative Text	Stream	Huggingface SDK	Cohere & OpenAI API Endpoint	Coming Soon!	Huggingface, Cohere, OpenAI
OpenAI GPT3	NLP	Generative Text	Stream	Huggingface SDK	OpenAI API Endpoint	Coming Soon!	Huggingface, OpenAI
OpenAI ChatGPT	NLP	Generative Text	Stream	Huggingface SDK	OpenAI API Endpoint	Coming Soon!	Huggingface, OpenAI