Expand description
Machine Learning Integration and Optimization Configuration
Structs§
- Adaptive
Learning Rate - Adaptive learning rate configuration
- Auxiliary
Loss - Auxiliary loss functions
- Concept
Drift Config - Concept drift detection configuration
- Cross
Validation Config - Cross-validation configuration
- Data
Augmentation Config - Data augmentation configuration
- Data
Preprocessing Config - Data preprocessing configuration
- Data
Quality Requirements - Data quality requirements
- Data
Requirements - Data requirements for transfer learning
- Data
Validation Rule - Data validation rules
- Dimensionality
Reduction Config - Dimensionality reduction configuration
- Domain
Adaptation Config - Domain adaptation configuration
- Early
Stopping Config - Early stopping configuration
- Early
Stopping Criteria - Early stopping criteria for hyperparameter optimization
- Eligibility
Criteria - Criteria for transfer learning eligibility
- Feature
Engineering Config - Feature engineering configuration
- Gradient
Clipping Config - Gradient clipping configuration
- Hyperparameter
Optimization - Hyperparameter optimization configuration
- Interaction
Detection Config - Feature interaction detection configuration
- Learning
Rate Scheduling - Learning rate scheduling configuration
- Loss
Function Config - Loss function configuration
- MLOptimization
Config - Machine learning optimization configuration
- MLTraining
Config - ML training configuration
- Memory
Management Config - Memory management for online learning
- Model
Hyperparameters - Model hyperparameters
- Online
Learning Config - Online learning configuration
- Optimization
Budget - Optimization budget configuration
- Parameter
Constraint - Constraints between parameters
- Parameter
Range - Parameter range definition
- Performance
Requirements - Performance requirements for transfer learning
- Regularization
Config - Regularization configuration
- Search
Space Config - Search space configuration
- Source
Domain Config - Source domain configuration
- Stratification
Config - Stratification configuration
- Training
Data Config - Training data configuration
- Training
Optimization Config - Training optimization configuration
- Transfer
Learning Config - Transfer learning configuration
- Update
Frequency - Model update frequency configuration
Enums§
- Adaptation
Validation Strategy - Validation strategies for domain adaptation
- Augmentation
Technique - Data augmentation techniques
- Balance
Strategy - Strategies for balancing stratified samples
- CVStrategy
- Cross-validation strategies
- Clipping
Method - Gradient clipping methods
- Constraint
Type - Types of parameter constraints
- Data
Collection Strategy - Data collection strategies
- Dimensionality
Reduction Method - Dimensionality reduction methods
- Domain
Adaptation Method - Domain adaptation methods
- Drift
Detection Method - Concept drift detection methods
- Drift
Response Strategy - Response strategies for concept drift
- Feature
Scaling Method - Feature scaling methods
- Feature
Selection Method - Feature selection methods
- Hyperparameter
Strategy - Hyperparameter optimization strategies
- Improvement
Direction - Direction of improvement for monitored metric
- Interaction
Detection Method - Feature interaction detection methods
- LRAdaptation
Strategy - Learning rate adaptation strategies
- LRScheduling
Strategy - Learning rate scheduling strategies
- Loss
Function - Loss function types
- Loss
Weighting Scheme - Loss weighting schemes
- MLModel
Type - Types of ML models
- Memory
Strategy - Memory management strategies
- Missing
Value Strategy - Missing value handling strategies
- Normalization
Method - Normalization methods
- Optimizer
Type - Types of optimizers
- Outlier
Handling - Outlier handling strategies
- Parameter
Distribution - Parameter distributions
- Regularization
Technique - Additional regularization techniques
- Similarity
Metric - Similarity metrics for domain comparison
- Transfer
Strategy - Transfer learning strategies
- Update
Trigger - Triggers for model updates
- Validation
Condition - Validation conditions
- Validation
Failure Action - Actions to take on validation failure