Module automl_optimization 

AutoML for Embedding Optimization - Version 1.2 Feature

This module implements comprehensive AutoML capabilities for automatically optimizing embedding configurations, model selection, hyperparameters, and vector search performance. It provides intelligent automation for finding the best embedding strategies for specific datasets and use cases.

Structs

AutoMLConfig

AutoML optimization configuration

AutoMLOptimizer

AutoML optimizer for embedding and vector search configurations

AutoMLResults

AutoML optimization results summary

AutoMLStatistics

AutoML optimization statistics

IndexConfiguration

Index configuration for optimization trials

IndexParameterSpace

Index-specific parameter search space

OptimizationTrial

AutoML optimization configuration for a specific trial

ResourceConstraints

Resource constraints for optimization

SearchSpace

Hyperparameter search space configuration

TrialResult

Result of an AutoML optimization trial

Enums

OptimizationMetric

Metrics to optimize during AutoML