ado Documentation
Initializing search
ibm/ado
Getting Started
How-To Guides
Examples
Core Concepts
Resources
Actuators
Operators
ado Documentation
ibm/ado
Getting Started
Getting Started
Demo
Installation
Migrating from 1.x to 2.x
The ado CLI
Installing backend services
Running ado on remote ray clusters
Developing ado
Roadmap
Contributing
How-To Guides
How-To Guides
Researchers & Benchmarkers
Plugin Developers
Core Developers
Examples
Examples
Overview
Search and Optimization
Search and Optimization
Taking a random walk
Search a space with an optimizer
Search based on a custom objective function
Space Characterization
Space Characterization
Identify the important dimensions of a space
Quickly building a predictive model for a configuration space
Fine-Tuning Throughput
Fine-Tuning Throughput
Measure throughput of fine-tuning locally
Measure throughput of fine-tuning on a remote RayCluster
vLLM Performance
vLLM Performance
Testing the throughput of an inference endpoint
Exploring vLLM deployment performance
Benchmarking geospatial models with vLLM
Core Concepts
Core Concepts
Concepts
Properties and Domains
Experiments & Actuators
Entities and Entity Spaces
Discovery Spaces
Shared Sample Stores
Resources
Resources
Resources
The metastore
samplestore
discoveryspace
operation
actuatorconfiguration
datacontainer
Actuators
Actuators
Actuators overview
Extending `ado` with new actuators
Adding custom experiments
Running experiments on single entities
Using externally obtained data
vllm_performance - measure inference performance
SFTTrainer - measure fine-tuning performance
Operators
Operators
Operators overview
Explore operators
Extending `ado` with new Operators
The Random Walk Operator
The Ray Tune Operator
The TRIM Operator
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