Merge pull request #126 from VishwamAI/bugfix/warnings_documentation

Refined Warning Suppression

tasks.md

@@ -0,0 +1,47 @@
+# NeuroFlex Project Tasks
+
+## Task Categories
+
+### 1. Bug Fixes
+- Address warnings related to line search and gradient evaluations in `math_solvers.py`.
+- Resolve intermittent failures in `test_multi_modal_learning.py`.
+- Fix issues in `tests/edge_ai/test_edge_ai_optimization.py`.
+
+### 2. Feature Implementations
+- Implement additional self-healing strategies in `edge_ai_optimization.py`.
+- Enhance logging for optimization processes in `math_solvers.py`.
+
+### 3. Performance Optimizations
+- Refine optimization parameters in `math_solvers.py` to improve convergence.
+- Optimize data handling and preprocessing in `multi_modal_learning.py`.
+
+### 4. Documentation Improvements
+- Update documentation to reflect recent changes in optimization logic.
+- Document new features and enhancements in the `README.md` file.
+
+### 5. Test Case Additions
+- Add test cases for new self-healing strategies in `edge_ai_optimization.py`.
+- Develop tests for enhanced logging functionality in `math_solvers.py`.
+
+## Task Division
+
+### Bug Fixes
+- **Task 1.1**: Investigate and resolve line search warnings in `math_solvers.py`.
+- **Task 1.2**: Fix intermittent failures in `test_multi_modal_learning.py`.
+- **Task 1.3**: Address issues in `tests/edge_ai/test_edge_ai_optimization.py`.
+
+### Feature Implementations
+- **Task 2.1**: Implement new self-healing strategies in `edge_ai_optimization.py`.
+- **Task 2.2**: Enhance logging for optimization processes in `math_solvers.py`.
+
+### Performance Optimizations
+- **Task 3.1**: Refine optimization parameters in `math_solvers.py`.
+- **Task 3.2**: Optimize data handling in `multi_modal_learning.py`.
+
+### Documentation Improvements
+- **Task 4.1**: Update documentation for optimization logic changes.
+- **Task 4.2**: Document new features in the `README.md`.
+
+### Test Case Additions
+- **Task 5.1**: Add test cases for self-healing strategies.
+- **Task 5.2**: Develop tests for logging functionality.

tests/advanced_models/test_advanced_time_series_analysis.py

@@ -7,6 +7,14 @@
 from NeuroFlex.advanced_models.advanced_time_series_analysis import AdvancedTimeSeriesAnalysis
 from statsmodels.tools.sm_exceptions import ValueWarning, EstimationWarning, ConvergenceWarning
 
+warnings.filterwarnings("ignore", category=UserWarning, message="Non-stationary starting autoregressive parameters")
+warnings.filterwarnings("ignore", category=UserWarning, message="Non-invertible starting MA parameters")
+warnings.filterwarnings("ignore", category=RuntimeWarning, message="invalid value encountered in divide")
+warnings.filterwarnings("ignore", category=RuntimeWarning, message="divide by zero encountered in divide")
+warnings.filterwarnings("ignore", category=RuntimeWarning, message="invalid value encountered in log")
+warnings.filterwarnings("ignore", category=RuntimeWarning, message="Mean of empty slice")
+warnings.filterwarnings("ignore", category=ConvergenceWarning, message="Maximum Likelihood optimization failed to converge")
+
 logger = logging.getLogger(__name__)
 
 @pytest.fixture