JFrog ML Examples

Example projects that demonstrate how to build, train, and deploy ML features and models using JFrog ML.

Table of Contents

1. Overview
2. Getting Started
3. Projects
4. Contributing
5. License

Overview

This repository contains example projects that showcase the capabilities of the JFrog ML platform for MLOps. Each project is designed to be a standalone example, demonstrating different aspects of machine learning, from data preprocessing to model building and deployment.

Getting Started

To get started with these examples:

1. Clone this repository.
2. Navigate to the example project you're interested in.
3. Follow the README and installation instructions within each project folder.

JFrog ML Model Examples

Example	Category	Model	Info
Fraud Detection with Feature Store			Fraud Detection model with inference based on Online Features
Sentiment Analysis			Performs binary sentiment analysis using a pre-trained BERT model.
Basic Text Generation			Generates text using a pre-trained BERT model.
Credit Risk Assesment			Predicts loan default risk using CatBoost algorithm [Poetry]
Customer Churn Analysis			Predicts Telecom subscriber churn using XGBoost [Conda].
Code Generation			Autoregressive language models for program synthesis and code generation.
Text Generation			A small T5 model pre-trained for generic text generation tasks.[Conda]
Financial Text Generation			T5 base model trained on Financial QA data for domain specific tasks.[Poetry]
Titanic Survival Prediction			Binary classification model for Titanic survival prediction.[Conda]
Sentiment Classification			DistilBERT-based text classifier for Yelp reviews on JFrog ML platform.[Conda]
Vector Similarity Search			Vectorizes product descriptions for similarity-based search.

JFrog ML Feature Store Examples

Example	Category	FeatureSet	Info
Batch Feature Set with SQL Transformation			Define, register and use a Batch Feature Set with SQL Transformations
Batch Feature Set with Koalas Transformation			Define, register and use a Batch Feature Set with Koalas (UDF)
Batch Feature Set with Window Aggregations			Define, register and use a Batch Feature Set with SQL Window Aggregations

Contributing

We welcome contributions! Please read our contributing guidelines for more information.

License

This project is licensed under the MIT License. See the LICENSE file for details.