Expand description
Automated Pipeline Constructor
This module provides automated construction of quantum ML pipelines.
Structs§
- Algorithm
Candidate - Algorithm candidate
- Algorithm
Performance Predictor - Algorithm performance predictor
- Algorithm
Selector - Algorithm selector
- Automated
Pipeline Constructor - Automated pipeline constructor
- Data
Analysis - Data analysis results
- Feature
Analyzer - Feature analyzer
- Meta
Learning Model - Meta-learning model
- Pattern
Detector - Pattern detector
- Performance
Database - Performance database
- Performance
Record - Performance record
- Performance
Validator - Performance validator
- Pipeline
Validator - Pipeline validator
- Preprocessing
Optimizer - Preprocessing optimizer
- Preprocessing
Performance - Preprocessing performance
- Preprocessing
Performance Tracker - Preprocessing performance tracker
- Preprocessor
Candidate - Preprocessor candidate
- Preprocessor
Config - Preprocessor configuration
- Quantum
Resource Requirements - Quantum resource requirements
- Resource
Requirements - Resource requirements
- Target
Analyzer - Target analyzer
- Task
Detector - Task detection from data
- Validation
Criteria - Validation criteria
- Validation
Rule - Validation rule
Enums§
- Algorithm
Selection Strategy - Algorithm selection strategy
- Algorithm
Type - Algorithm types
- Feature
Analyzer Type - Feature analyzer types
- Pattern
Type - Pattern types
- Performance
Prediction Strategy - Performance prediction strategies
- Performance
Validator Type - Performance validator types
- Preprocessing
Optimization Strategy - Preprocessing optimization strategy
- Preprocessor
Type - Preprocessor types
- Quantum
Enhancement Level - Quantum enhancement levels
- Target
Analyzer Type - Target analyzer types
- Validation
Rule Type - Validation rule types
- Validation
Severity - Validation severity levels