Code samples

Published

October 24, 2025

Our Jupyter Notebook code samples showcase the capabilities and features of the ValidMind Library, while also providing you with useful examples that you can build on and adapt for your own use cases.

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Quickstarts

Learn how to develop or validate a simple customer churn model with ​ValidMind. The easiest way to try the quickstarts are on JupyterHub:

Quickstart for model documentation

Quickstart for model validation

Code samples for your use case

AI Agent Validation with ValidMind - Banking Demo
13 min
This notebook shows how to document and evaluate an agentic AI system with the ValidMind Library. Using a small banking agent built in LangGraph as an example, you will run ValidMind’s built-in and custom tests and produce the artifacts needed to…
Automate news summarization using LLMs
9 min
Document a LLM-based text summarization model of news using the CNN DailyMail sample dataset from HuggingFace with the ValidMind Library.
Document a California Housing Price Prediction regression model
7 min
Use the California Housing Price Prediction sample dataset from Sklearn to train a simple regression model and document that model with the ValidMind Library.
Document a credit risk model
10 min
Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.
Document a time series forecasting model
12 min
Use the FRED sample dataset to train a simple time series model and document that model with the ValidMind Library.
Document a time series forecasting model
10 min
Use the FRED sample dataset to train a simple time series model and document that model with the ValidMind Library.
Document an Excel-based application scorecard model
14 min
Build and document an Excel-based application scorecard model with the ValidMind Library. Learn how to load an Excel-based model, prepare your datasets and model for testing, run tests and log those test results to the ValidMind Platform.
Document an application scorecard model
6 min
Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.
Document an application scorecard model
12 min
Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.
Document an application scorecard model
12 min
Build and document an application scorecard model with the ValidMind Library by using Kaggle's Lending Club sample dataset to build a simple application scorecard.
Implement custom tests
15 min
Custom tests extend the functionality of ValidMind, allowing you to document any model or use case with added flexibility.
Integrate external test providers
14 min
Register a custom test provider with the ValidMind Library to run your own tests.
Ongoing Monitoring for Application Scorecard
11 min
In this notebook, you'll learn how to seamlessly monitor your production models using the ValidMind Platform.
Prompt validation for large language models (LLMs)
8 min
Run and document prompt validation tests for a large language model (LLM) specialized in sentiment analysis for financial news.
Quickstart for Heston option pricing model using QuantLib
11 min
Welcome! Let's get you started with the basic process of documenting models with ValidMind.
Quickstart for knockout option pricing model documentation
12 min
Welcome! Let's get you started with the basic process of documenting models with ValidMind.
Quickstart for model code documentation
10 min
Welcome! This notebook demonstrates how to use the ValidMind code explainer to automatically generate comprehensive documentation for your codebase. The code explainer analyzes your source code and provides detailed explanations across various…
Quickstart for ongoing monitoring of models with ValidMind
12 min
Welcome! In this quickstart guide, you'll learn how to seamlessly monitor your production models using the ValidMind Platform.
RAG Model Benchmarking Demo
22 min
In this notebook, we are going to implement a simple RAG Model for automating the process of answering RFP questions using GenAI. We will see how we can initialize an embedding model, a retrieval model and a generator model with LangChain…
RAG Model Documentation Demo
22 min
In this notebook, we are going to implement a simple RAG Model for automating the process of answering RFP questions using GenAI. We will see how we can initialize an embedding model, a retrieval model and a generator model with LangChain…
Sentiment analysis of financial data using Hugging Face NLP models
5 min
Document a natural language processing (NLP) model using the ValidMind Library after performing a sentiment analysis of financial news data using several different Hugging Face transformers.
Sentiment analysis of financial data using a large language model (LLM)
5 min
Document a large language model (LLM) specialized in sentiment analysis for financial news using the ValidMind Library.
Summarization of financial data using Hugging Face NLP models
5 min
Document a natural language processing (NLP) model using ValidMind to summarize financial news, based on a dataset of just over 300,000 unique news articles written by journalists at CNN and the Daily Mail.
Summarization of financial data using a large language model (LLM)
5 min
Document a large language model (LLM) using the ValidMind Library. The use case is a summarization of financial news based on a dataset containing just over 300k unique news articles as written by journalists at CNN and the Daily Mail.
Validate an application scorecard model
24 min
Learn how to independently assess an application scorecard model developed using the ValidMind Library as a validator. You'll evaluate the development of the model by conducting thorough testing and analysis, including the use of challenger models…
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