JFrog ML Documentation

Products: JFrog ML
Content Type: User Guide

JFrog ML Introduction
What is JFrog ML
JFrog ML Architecture
Control and Data Planes Interaction
JFrog ML Quickstart
Setting Up JFrog ML
Get Started with JFrog ML
JFrog AI Catalog
JFrog AI Catalog Architecture
Getting Started with AI Catalog
Set Up Curation Settings for Model Packages
Detect Shadow AI
Discover and Allow Models
Allow Your First Model
Add Projects to an Allowed Model
Connect AI Providers
Create a New Model Provider Connection
How to Get API Keys for External Providers
Create a New Secret
Deploy Model Packages
Deploy Custom Models
Integrate Models in Your Code
Upload Custom Models
Use the Model Dashboards
Troubleshooting AI Catalog
Build Models
Model Build Overview
Model Builds SDK
Managing Dependencies
FrogML Model Anatomy
The FrogML Model Class
Training Models
Training Models with GPUs
Using PyTorch with CUDA
Building a Model with OpenCV
Testing Models
Local Testing
Adding Integration Tests to a Model Build
Loading Pre-built Models
Model Registry and Metadata
Advanced Build Concepts
Build Configurations
Build Configurations
Hyperparameter Optimization (HPO)
Custom HTTP Status Codes
Model Version Management
Serve Models (Deployment)
Prediction Input & Output Adapters
Real-Time Deployments
Calling Model Endpoints
JFrog ML Rest API
Python SDK
Java SDK
Go SDK
Deployment Strategies
Traffic Splitting with Audiences and Variations
Shadow Deployment
Protected Variations
Performance and Runtime Configuration
Local Deployment
Batch Deployments
Storage-Based Execution
DataFrame Execution
Batch Execution Management
Streaming Deployments
Inference Analytics
Model Monitors
Runtime Metrics
Monitor Model Data
Prediction Timers
Performance Monitors
Inference Distribution (Analytics)
Automate JFrog ML
Define Automations
Automating Build and Deploy
Automating Batch Execution
Manage Automations
Automation Tutorials
Scheduled Training and Deployment
Monitoring Batch Execution Failures
Configure JFrog ML
JFrog ML Alerts
Instance Sizes & ML Credits
Secret Management
Accessing AWS Resources with IAM Role
Model Experimentation
Integrating Experiment Tracking Tools with JFrog ML
Feature Store
Feature Store Overview
Feature Store Quick Start Guide
Data Sources
Batch Data Sources
Streaming Data Sources
Batch Feature Set
Transformations
Read Policies
Backfill
Streaming Feature Set
Feature Consumption
Features in Inference
Features in Training
Feature Set Alerts
Use-cases
Cross-environment Online Serving Replication
FrogML Client Examples
JFrog ML Troubleshooting
Performance Issues
Installation Issues
Network and Connectivity Issues

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