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crowncode-backend / app

Commit History

Sep 5

20:03
feat: audio processing ve organization API uç noktaları ile unit testing eklendi

Rthur2003

2eb5dd7
11:32
feat: youTube API servisi ve backend routing için video interaction ve comment management eklendi

Rthur2003

8de7693

Aug 23

20:04
feat: implement automated training diagnostics, dataset bias analysis, and revision figure generation pipelines

Rthur2003

906c392

Jul 3

16:14
feat: add reservations API with table management and email notifications

Rthur2003

c1fe190

May 14

08:29
fix: extend xlim in plot_ml_vs_dl to prevent clipping of value labels

Rthur2003

4744538

May 13

08:57
feat: integrate wav2vec2 score into score fusion logic

Rthur2003

87518a8
08:56
fix: add wav2vec2 result handling and logging in analyze file processing

Rthur2003

8be5b97
08:55
feat: add Wav2Vec2 detector service to analysis route

Rthur2003

5529f33

May 12

10:35
fix: adjust confidence calculation and streamline model download logic

Rthur2003

a55f921
10:08
fix: real ensemble inference, Youden threshold, DL unpickler⁠

Rthur2003 +1: Claude Sonnet 4.6

f999d90
09:24
fix: update calibration and precision-recall plotting functions to load data from files

Rthur2003

129f521
09:18
fix: update confusion matrix and score distribution functions to load pre-computed CV predictions

Rthur2003

fa18330
09:17
feat: add script to generate publication-ready figures for AURIS paper

Rthur2003

e8077a2
09:02
fix: add ffmpeg decoding fallback for audio loading in analyze_vocals

Rthur2003

4718070

Apr 30

12:33
fix: add ffmpeg decoding fallback for unsupported audio formats in feature extraction

Rthur2003

14fc9a2

Apr 28

10:05
fix: update evaluation to use optimal threshold and adjust BCEWithLogitsLoss for class imbalance

Rthur2003

9b6c85d
10:04
fix: adjust BCEWithLogitsLoss to handle class imbalance with pos_weight

Rthur2003

5ac76c0
10:04
fix: add missing roc_curve metric import for evaluation

Rthur2003

bfbdc0b
09:58
feat: define families dictionary for candidate classifiers in _build_candidate_families function

Rthur2003

1d86705
09:57
feat: enhance candidate selection with class ratio and calibrated SVC for improved model performance

Rthur2003

57f19bf
09:56
feat: implement optimal threshold calculation for binary predictions in train function

Rthur2003

058eadc
09:55
feat: add CalibratedClassifierCV and roc_curve imports for enhanced model evaluation

Rthur2003

27cd744

Apr 24

13:12
feat: add TorchSklearnWrapper for PyTorch model compatibility with sklearn and enhance final model training process

Rthur2003

bb33480

Apr 16

09:38
Add Gradio dependency to requirements.txt with version constraints

Rthur2003

20fe6c3
09:04
feat: train all models on full data and save their paths

Rthur2003

94ed8e9
09:02
Refactor code structure for improved readability and maintainability

Rthur2003

c0f3b71
08:48
feat: update duration limit for audio analysis to 1 minute for improved detection

Rthur2003

d20e581
08:45
feat: implement mixed precision training and gradient accumulation in training loop

Rthur2003

076d979
08:44
feat: adjust confidence range in analysis result and optimize parallel processing for feature extraction, vocal analysis, and CLAP detection

Rthur2003

8e5e154
08:43
feat: enhance score fusion confidence range and adjust CLAP weight for improved accuracy

Rthur2003

e18d9f7
04:23
feat: adjust confidence calculation in score fusion to improve agreement handling

Rthur2003

ba5cc97
04:04
feat: update model parameters for Random Forest, Gradient Boosting, XGBoost, and LightGBM to enhance performance

Rthur2003

e68824c
04:02
feat: adjust Random Forest parameters for improved model performance

Rthur2003

905436c
04:02
feat: optimize Gradient Boosting and XGBoost parameters for improved model performance

Rthur2003

0d5b4e8
04:01
feat: refactor training history figure generation to use GradientBoostingClassifier and improve metric tracking

Rthur2003

1c2de42
03:56
feat: update model parameters and fix data leakage by removing duration_sec and sample_rate from features

Rthur2003

bb6655d
03:40
feat: add deep learning classifier comparison script for AURIS with multiple architectures

Rthur2003

b8d143b
03:38
feat: update excluded columns in feature statistics computation to prevent data leakage

Rthur2003

edc551d
03:24
feat: exclude additional metadata columns from feature loading to prevent data leakage

Rthur2003

4b87da0

Apr 15

19:59
feat: update output directory for generated figures to docs/academic/figures

Rthur2003

983f3ef
19:28
feat: add deep-learning figure generation script for enhanced model evaluation

Rthur2003

917199d
16:46
feat: enhance calibration figure with Brier score and update prediction functions

Rthur2003

255af12
16:44
feat: update ROC and Precision-Recall curve functions to include best model visualization

Rthur2003

ca749ec
16:42
feat: implement cross-validated predictions caching and update confusion matrix function

Rthur2003

0ea8f54
16:42
feat: add additional imports for model evaluation and cross-validation

Rthur2003

853f480
16:42
feat: add figure generation script for training results visualization

Rthur2003

94e94a1
16:35
feat: enhance analysis result with estimated bitrate and XAI verdict integration

Rthur2003

9e93437
16:34
feat: add XAI inference for explainable predictions in analysis results

Rthur2003

21d9516
16:34
feat: add XAI explanation models for enhanced interpretability in analysis results

Rthur2003

45def97
16:34
feat: integrate XAI service for enhanced explainability in analysis

Rthur2003

3f5c3a0

Commit History

Sep 5

feat: audio processing ve organization API uç noktaları ile unit testing eklendi

feat: youTube API servisi ve backend routing için video interaction ve comment management eklendi

Aug 23

feat: implement automated training diagnostics, dataset bias analysis, and revision figure generation pipelines

Jul 3

feat: add reservations API with table management and email notifications

May 14

fix: extend xlim in plot_ml_vs_dl to prevent clipping of value labels

May 13

feat: integrate wav2vec2 score into score fusion logic

fix: add wav2vec2 result handling and logging in analyze file processing

feat: add Wav2Vec2 detector service to analysis route

May 12

fix: adjust confidence calculation and streamline model download logic

fix: real ensemble inference, Youden threshold, DL unpickler⁠

fix: update calibration and precision-recall plotting functions to load data from files

fix: update confusion matrix and score distribution functions to load pre-computed CV predictions

feat: add script to generate publication-ready figures for AURIS paper

fix: add ffmpeg decoding fallback for audio loading in analyze_vocals

Apr 30

fix: add ffmpeg decoding fallback for unsupported audio formats in feature extraction

Apr 28

fix: update evaluation to use optimal threshold and adjust BCEWithLogitsLoss for class imbalance

fix: adjust BCEWithLogitsLoss to handle class imbalance with pos_weight

fix: add missing roc_curve metric import for evaluation

feat: define families dictionary for candidate classifiers in _build_candidate_families function

feat: enhance candidate selection with class ratio and calibrated SVC for improved model performance

feat: implement optimal threshold calculation for binary predictions in train function

feat: add CalibratedClassifierCV and roc_curve imports for enhanced model evaluation

Apr 24

feat: add TorchSklearnWrapper for PyTorch model compatibility with sklearn and enhance final model training process

Apr 16

Add Gradio dependency to requirements.txt with version constraints

feat: train all models on full data and save their paths

Refactor code structure for improved readability and maintainability

feat: update duration limit for audio analysis to 1 minute for improved detection

feat: implement mixed precision training and gradient accumulation in training loop

feat: adjust confidence range in analysis result and optimize parallel processing for feature extraction, vocal analysis, and CLAP detection

feat: enhance score fusion confidence range and adjust CLAP weight for improved accuracy

feat: adjust confidence calculation in score fusion to improve agreement handling

feat: update model parameters for Random Forest, Gradient Boosting, XGBoost, and LightGBM to enhance performance

feat: adjust Random Forest parameters for improved model performance

feat: optimize Gradient Boosting and XGBoost parameters for improved model performance

feat: refactor training history figure generation to use GradientBoostingClassifier and improve metric tracking

feat: update model parameters and fix data leakage by removing duration_sec and sample_rate from features

feat: add deep learning classifier comparison script for AURIS with multiple architectures

feat: update excluded columns in feature statistics computation to prevent data leakage

feat: exclude additional metadata columns from feature loading to prevent data leakage

Apr 15

feat: update output directory for generated figures to docs/academic/figures

feat: add deep-learning figure generation script for enhanced model evaluation

feat: enhance calibration figure with Brier score and update prediction functions

feat: update ROC and Precision-Recall curve functions to include best model visualization

feat: implement cross-validated predictions caching and update confusion matrix function

feat: add additional imports for model evaluation and cross-validation

feat: add figure generation script for training results visualization

feat: enhance analysis result with estimated bitrate and XAI verdict integration

feat: add XAI inference for explainable predictions in analysis results

feat: add XAI explanation models for enhanced interpretability in analysis results

feat: integrate XAI service for enhanced explainability in analysis