Files
foxhunt/ml/tests/transition_probability_features_test.rs
jgrusewski aac0597cd2 feat(ml): DQN Option B checkpoint fix + TFT OOM investigation
- Fixed DQN early stopping checkpoint naming bug (Option B)
  - Added is_final: bool parameter to checkpoint callback signature
  - Trainer now distinguishes final checkpoints from regular epoch checkpoints
  - Final checkpoints use 'dqn_final_epoch{N}' naming convention
  - Regular checkpoints use 'dqn_epoch_{N}' naming convention

- Completed comprehensive TFT OOM investigation
  - Spawned 3 parallel agents for memory analysis
  - Identified 16.4GB memory leak (29.7x over expected 525-550MB)
  - Root causes: Attention cache bloat (960MB), gradient accumulation bug, detached tensors
  - Recommended fixes: Disable cache during training, explicit tensor drops
  - Created TFT_MEMORY_ANALYSIS.md, TFT_MEMORY_LEAK_ANALYSIS.md

- DQN 100-epoch training VERIFIED on Runpod RTX A4000
  - Training completed successfully: 100/100 epochs
  - Final checkpoint created: dqn_final_epoch100.safetensors
  - Training speed: 4.8 sec/epoch (3.5x faster than baseline)
  - Option B fix working perfectly

- Deployed RTX 4090 pod for TFT testing
  - Pod ID: 6244yzm9hadnog
  - 24GB VRAM to bypass OOM issue
  - EUR-IS-1 datacenter, $0.59/hr

Files modified:
- ml/examples/train_dqn.rs (checkpoint callback signature)
- ml/src/trainers/dqn.rs (callback signature + is_final parameter)
- CLAUDE.md (compacted to ~11k chars)

Generated reports:
- TFT_MEMORY_ANALYSIS.md (15-section memory breakdown)
- TFT_MEMORY_QUICK_SUMMARY.md (executive summary)
- TFT_MEMORY_LEAK_ANALYSIS.md (5 critical leaks identified)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 23:49:24 +02:00

504 lines
13 KiB
Rust

//! Transition Probability Features Tests (Indices 216-220)
//!
//! TDD tests for 5 transition probability features:
//! - Feature 216: Stability P(i→i)
//! - Feature 217: Most likely next regime (index)
//! - Feature 218: Shannon entropy H = -Σ P(i→j) log₂ P(i→j)
//! - Feature 219: Expected duration (REUSE existing method!)
//! - Feature 220: Change probability (1 - stability)
//!
//! **SUCCESS CRITERIA**:
//! - All 5 features calculated correctly
//! - expected_duration() reused from existing TransitionMatrix
//! - Shannon entropy computed with numerical stability
//! - Most likely regime correctly identified
use ml::ensemble::MarketRegime;
use ml::regime::transition_probability_features::TransitionProbabilityFeatures;
#[test]
fn test_initialization() {
let regimes = vec![
MarketRegime::Normal,
MarketRegime::Bull,
MarketRegime::Bear,
MarketRegime::Sideways,
MarketRegime::HighVolatility,
MarketRegime::Crisis,
MarketRegime::Unknown,
];
let features = TransitionProbabilityFeatures::new(regimes, 0.1, 10);
// Initially at Unknown regime (last in list)
let result = features.current_regime();
assert_eq!(result, MarketRegime::Unknown);
}
#[test]
fn test_stability_feature_216() {
let regimes = vec![MarketRegime::Bull, MarketRegime::Bear];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Make Bull regime persistent: Bull -> Bull
for _ in 0..10 {
features.update(MarketRegime::Bull);
}
let result = features.compute_features();
// Feature 216: Stability should be high (>0.7)
assert!(
result[0] > 0.7,
"Stability should be high, got {}",
result[0]
);
assert!(
result[0] <= 1.0,
"Stability should be ≤1.0, got {}",
result[0]
);
}
#[test]
fn test_most_likely_next_regime_feature_217() {
let regimes = vec![
MarketRegime::Bull,
MarketRegime::Bear,
MarketRegime::Sideways,
];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.3, 1);
// Pattern: Bull -> Bear repeatedly
features.update(MarketRegime::Bull);
for _ in 0..15 {
features.update(MarketRegime::Bear);
features.update(MarketRegime::Bull);
}
features.update(MarketRegime::Bear);
let result = features.compute_features();
// Feature 217: Most likely next regime index
// From Bear, most likely to go to Bull (index 0)
let most_likely_idx = result[1] as usize;
assert!(
most_likely_idx <= 2,
"Index should be 0-2, got {}",
most_likely_idx
);
}
#[test]
fn test_shannon_entropy_feature_218() {
let regimes = vec![MarketRegime::Bull, MarketRegime::Bear];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Uniform transitions (50/50) -> maximum entropy
for _ in 0..20 {
features.update(MarketRegime::Bull);
features.update(MarketRegime::Bear);
}
let result = features.compute_features();
// Feature 218: Shannon entropy
// Max entropy for 2 states = log₂(2) = 1.0
let entropy = result[2];
assert!(entropy > 0.0, "Entropy should be positive, got {}", entropy);
assert!(
entropy <= 1.0,
"Entropy should be ≤1.0 for 2 states, got {}",
entropy
);
}
#[test]
fn test_entropy_zero_for_deterministic_transition() {
let regimes = vec![MarketRegime::Sideways, MarketRegime::HighVolatility];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.3, 1);
// Deterministic: Sideways -> Sideways (100%)
for _ in 0..30 {
features.update(MarketRegime::Sideways);
}
let result = features.compute_features();
// Feature 218: Entropy should approach 0 (low uncertainty)
let entropy = result[2];
assert!(
entropy < 0.3,
"Entropy should be low for deterministic transition, got {}",
entropy
);
}
#[test]
fn test_expected_duration_feature_219() {
let regimes = vec![MarketRegime::Bull, MarketRegime::Bear];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Make Bull persistent: P(Bull->Bull) ≈ 0.9
for _ in 0..20 {
features.update(MarketRegime::Bull);
features.update(MarketRegime::Bull);
features.update(MarketRegime::Bear);
}
features.update(MarketRegime::Bull);
let result = features.compute_features();
// Feature 219: Expected duration
let duration = result[3];
assert!(
duration > 1.0,
"Expected duration should be >1, got {}",
duration
);
assert!(
duration < 100.0,
"Expected duration should be reasonable, got {}",
duration
);
}
#[test]
fn test_change_probability_feature_220() {
let regimes = vec![MarketRegime::HighVolatility, MarketRegime::Sideways];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.3, 1);
// Volatile regime transitions frequently
for _ in 0..10 {
features.update(MarketRegime::HighVolatility);
features.update(MarketRegime::Sideways);
}
let result = features.compute_features();
// Feature 220: Change probability = 1 - stability
let stability = result[0];
let change_prob = result[4];
let expected_change_prob = 1.0 - stability;
assert!(
(change_prob - expected_change_prob).abs() < 1e-6,
"Change prob should be 1 - stability, got {} vs expected {}",
change_prob,
expected_change_prob
);
// For frequent transitions, change probability should be high
assert!(
change_prob > 0.3,
"Change probability should be high, got {}",
change_prob
);
}
#[test]
fn test_all_five_features_together() {
let regimes = vec![
MarketRegime::Bull,
MarketRegime::Bear,
MarketRegime::Sideways,
MarketRegime::HighVolatility,
];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.15, 1);
// Realistic regime sequence
let sequence = vec![
MarketRegime::Sideways,
MarketRegime::Sideways,
MarketRegime::Bull,
MarketRegime::Bull,
MarketRegime::Bull,
MarketRegime::HighVolatility,
MarketRegime::Bear,
MarketRegime::Bear,
MarketRegime::Sideways,
];
for regime in sequence {
features.update(regime);
}
let result = features.compute_features();
// Verify all 5 features are computed
assert_eq!(result.len(), 5, "Should return exactly 5 features");
// Feature 216: Stability
assert!(
result[0] >= 0.0 && result[0] <= 1.0,
"Stability should be in [0,1], got {}",
result[0]
);
// Feature 217: Most likely next regime index
assert!(
(result[1] as usize) < 4,
"Most likely index should be 0-3, got {}",
result[1]
);
// Feature 218: Entropy
assert!(
result[2] >= 0.0,
"Entropy should be non-negative, got {}",
result[2]
);
// Feature 219: Expected duration
assert!(
result[3] >= 1.0,
"Expected duration should be ≥1, got {}",
result[3]
);
// Feature 220: Change probability
assert!(
result[4] >= 0.0 && result[4] <= 1.0,
"Change probability should be in [0,1], got {}",
result[4]
);
// Verify complementary relationship
let stability = result[0];
let change_prob = result[4];
assert!(
(stability + change_prob - 1.0).abs() < 1e-6,
"Stability + change_prob should = 1.0, got {} + {} = {}",
stability,
change_prob,
stability + change_prob
);
}
#[test]
fn test_regime_transition_updates_matrix() {
let regimes = vec![MarketRegime::Bull, MarketRegime::Bear];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Transition: Bull -> Bear
features.update(MarketRegime::Bull);
features.update(MarketRegime::Bear);
// Current regime should be updated
assert_eq!(features.current_regime(), MarketRegime::Bear);
// Matrix should track this transition
let result = features.compute_features();
assert!(
result[0] >= 0.0,
"Features should be computed after transitions"
);
}
#[test]
fn test_same_regime_no_transition() {
let regimes = vec![MarketRegime::Sideways];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Stay in same regime
for _ in 0..10 {
features.update(MarketRegime::Sideways);
}
let result = features.compute_features();
// Feature 216: Stability should approach 1.0 (always stays)
assert!(
result[0] > 0.8,
"Stability should be very high, got {}",
result[0]
);
// Feature 220: Change probability should approach 0.0
assert!(
result[4] < 0.2,
"Change probability should be low, got {}",
result[4]
);
}
#[test]
fn test_entropy_with_three_regimes() {
let regimes = vec![
MarketRegime::Bull,
MarketRegime::Bear,
MarketRegime::Sideways,
];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Equal probability transitions from Bull
features.update(MarketRegime::Bull);
for _ in 0..30 {
features.update(MarketRegime::Bull);
features.update(MarketRegime::Bear);
features.update(MarketRegime::Bull);
features.update(MarketRegime::Sideways);
}
features.update(MarketRegime::Bull);
let result = features.compute_features();
// Feature 218: Entropy should be high (multiple options)
// Max entropy for 3 states = log₂(3) ≈ 1.585
let entropy = result[2];
assert!(
entropy > 0.5,
"Entropy should be high for multiple options, got {}",
entropy
);
assert!(
entropy <= 1.585,
"Entropy should be ≤log₂(3), got {}",
entropy
);
}
#[test]
fn test_numerical_stability_near_zero_probabilities() {
let regimes = vec![
MarketRegime::Bull,
MarketRegime::Bear,
MarketRegime::Sideways,
MarketRegime::HighVolatility,
];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.1, 1);
// Only transitions between Bull and Bear (others have near-zero probability)
for _ in 0..50 {
features.update(MarketRegime::Bull);
features.update(MarketRegime::Bear);
}
features.update(MarketRegime::Bull);
let result = features.compute_features();
// Feature 218: Entropy should not be NaN or Inf
let entropy = result[2];
assert!(
entropy.is_finite(),
"Entropy should be finite, got {}",
entropy
);
assert!(
entropy >= 0.0,
"Entropy should be non-negative, got {}",
entropy
);
}
#[test]
fn test_most_likely_regime_changes_over_time() {
let regimes = vec![MarketRegime::Bull, MarketRegime::Bear];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.3, 1);
// First pattern: Bull -> Bear
features.update(MarketRegime::Bull);
for _ in 0..10 {
features.update(MarketRegime::Bear);
features.update(MarketRegime::Bull);
}
features.update(MarketRegime::Bear);
let result1 = features.compute_features();
let most_likely_1 = result1[1] as usize;
// Now switch pattern: Bear -> Bear (persistence)
for _ in 0..20 {
features.update(MarketRegime::Bear);
}
let result2 = features.compute_features();
let most_likely_2 = result2[1] as usize;
// Most likely regime should adapt to new pattern
assert!(
result2[0] > result1[0],
"Stability should increase with persistence"
);
}
#[test]
fn test_expected_duration_matches_transition_matrix() {
let regimes = vec![MarketRegime::Sideways, MarketRegime::HighVolatility];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Make Sideways persistent
for _ in 0..20 {
features.update(MarketRegime::Sideways);
features.update(MarketRegime::Sideways);
features.update(MarketRegime::HighVolatility);
}
features.update(MarketRegime::Sideways);
let result = features.compute_features();
let feature_duration = result[3];
// Verify duration matches the formula: 1 / (1 - stability)
let stability = result[0];
let expected_duration = 1.0 / (1.0 - stability).max(0.001);
assert!(
(feature_duration - expected_duration).abs() < 0.1,
"Feature duration {} should match calculated duration {}",
feature_duration,
expected_duration
);
}
#[test]
fn test_feature_216_220_complementary() {
let regimes = vec![
MarketRegime::Bull,
MarketRegime::Bear,
MarketRegime::Sideways,
];
let mut features = TransitionProbabilityFeatures::new(regimes, 0.2, 1);
// Various transitions
let transitions = vec![
MarketRegime::Bull,
MarketRegime::Bull,
MarketRegime::Bear,
MarketRegime::Sideways,
MarketRegime::Sideways,
MarketRegime::Bull,
];
for regime in transitions {
features.update(regime);
}
let result = features.compute_features();
// Feature 216 and 220 should be complementary
let stability = result[0];
let change_prob = result[4];
assert!(
(stability + change_prob - 1.0).abs() < 1e-10,
"Stability + change probability must equal 1.0, got {} + {} = {}",
stability,
change_prob,
stability + change_prob
);
}