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AIProcessingState

scirs2_ndimage::ai_driven_adaptive_processing::state

Struct AIProcessingState 

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pub struct AIProcessingState {
Show 17 fields
    pub decision_network: Array3<f64>,
    pub experience_buffer: VecDeque<ProcessingExperience>,
    pub processing_strategies: HashMap<ImagePattern, ProcessingStrategy>,
    pub performancehistory: VecDeque<f64>,
    pub knowledge_base: MultiModalKnowledgeBase,
    pub currentcontext: ProcessingContext,
    pub continual_learningstate: ContinualLearningState,
    pub explanation_tracker: ExplanationTracker,
    pub transfer_models: Vec<TransferLearningModel>,
    pub few_shot_cache: HashMap<String, FewShotLearningEntry>,
    pub algorithm_confidence: HashMap<String, f64>,
    pub neural_network: NeuralModel,
    pub pattern_strategy_mapping: HashMap<String, String>,
    pub algorithm_usage_count: HashMap<String, usize>,
    pub strategy_performance: HashMap<String, f64>,
    pub patternhistory: VecDeque<ImagePattern>,
    pub learnedfeatures: HashMap<String, Array1<f64>>,

}
Expand description

AI-Driven Processing State

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§decision_network: Array3<f64>

Neural network weights for decision making

§experience_buffer: VecDeque<ProcessingExperience>

Experience replay buffer

§processing_strategies: HashMap<ImagePattern, ProcessingStrategy>

Learned processing strategies

§performancehistory: VecDeque<f64>

Performance history

§knowledge_base: MultiModalKnowledgeBase

Multi-modal knowledge base

§currentcontext: ProcessingContext

Current processing context

§continual_learningstate: ContinualLearningState

Continual learning state

§explanation_tracker: ExplanationTracker

Explainability tracking

§transfer_models: Vec<TransferLearningModel>

Transfer learning models

§few_shot_cache: HashMap<String, FewShotLearningEntry>

Few-shot learning cache

§algorithm_confidence: HashMap<String, f64>

Algorithm confidence levels

§neural_network: NeuralModel

Neural network for pattern classification

§pattern_strategy_mapping: HashMap<String, String>

Pattern to strategy mapping

§algorithm_usage_count: HashMap<String, usize>

Algorithm usage count tracking

§strategy_performance: HashMap<String, f64>

Strategy performance tracking

§patternhistory: VecDeque<ImagePattern>

Pattern processing history

§learnedfeatures: HashMap<String, Array1<f64>>

Learned feature representations

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impl AIProcessingState

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pub fn new() -> Self

Create a new AI processing state

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pub fn add_experience(&mut self, experience: ProcessingExperience)

Add experience to the replay buffer

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pub fn get_experience_batch( &self, batch_size: usize, ) -> Vec<ProcessingExperience>

Get a batch of experiences for learning

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pub fn update_strategy( &mut self, pattern: ImagePattern, strategy: ProcessingStrategy, )

Update strategy for a given pattern

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pub fn get_best_strategy( &self, pattern: &ImagePattern, ) -> Option<&ProcessingStrategy>

Get best strategy for a given pattern

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pub fn add_performance_record(&mut self, performance: f64)

Add performance record

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pub fn get_average_performance(&self, recent_count: usize) -> f64

Get average performance over recent history

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pub fn update_algorithm_confidence(&mut self, algorithm: &str, confidence: f64)

Update algorithm confidence

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pub fn get_algorithm_confidence(&self, algorithm: &str) -> f64

Get algorithm confidence

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pub fn add_pattern_to_history(&mut self, pattern: ImagePattern)

Add pattern to history

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pub fn has_seen_pattern_recently( &self, pattern: &ImagePattern, within_last: usize, ) -> bool

Check if pattern has been seen recently

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pub fn get_state_summary(&self) -> StateSummary

Get state summary for monitoring

Trait Implementations§

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impl Clone for AIProcessingState

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fn clone(&self) -> AIProcessingState

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for AIProcessingState

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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