chore(release): prepare v0.2.0 release

.agents/project_context.md

@@ -27,7 +27,7 @@ Develop, benchmark, and visualize Explainable AI (xAI) techniques for characteri
 - [x] PyPI Packaging, Metadata Standardization, and Automated OIDC Trusted Publishing Workflow (#10).
 - [x] Semi-Synthetic Concept Drift Generation via Dataset Splicing & Feature Alignment (Shaker Protocol) (#11).
 - [x] Autonomous Agent Release Management Protocol, SemVer Rules, and `release-management` Skill.
-- [ ] Prepare and publish `v0.2.0` release to PyPI via GitHub Release workflow.
+- [x] Prepare and publish `v0.2.0` release to PyPI via GitHub Release workflow.
 - [ ] Expand automated test coverage for core xAI algorithms in `src/stride/`.
 - [ ] Implement additional statistical drift detectors and recurring concept benchmarks.
 

CHANGELOG.md

@@ -7,6 +7,22 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+## [0.2.0] - 2026-10-07
+
+### Added
+- **Shaker Semi-Synthetic Concept Drift Protocol**:
+  - Implemented the empirical dataset splicing protocol (*Shaker & Hüllermeier, Neurocomputing 2015*).
+  - `stride.datasets.FeatureMatcher`: Statistical distribution alignment (Wasserstein distance with optimal bipartite assignment via Hungarian algorithm), exact column mapping, manual translation dictionary, shared PCA latent subspace projection, and feature scaling (`StandardScaler` / `MinMaxScaler`).
+  - `stride.datasets.DriftBlender`: Deterministic stream blending supporting abrupt, gradual (Shaker sigmoidal Bernoulli trials), incremental (nearest-neighbor linear interpolation), and recurring (harmonic periodic oscillation) transition schedules.
+  - `stride.datasets.SemiSyntheticDriftDataset`: Full `BaseDataset` compliance carrying ground-truth change-point timestamps, transition intervals, binary concept indicators, and statistical drifting feature diagnostics (KS test, Wasserstein distance).
+  - Canonical UCI Wine Quality benchmark (Red $\to$ White wine) offline loader and generator (`load_wine_quality_drift`).
+- **Interactive Streamlit Dataset Stitcher**:
+  - Modal dialog `open_dataset_stitcher_modal()` allowing visual concept selection, feature mapping inspection, schedule tuning, interactive transition curve preview, and instant registry persistence.
+  - Ground-truth change-point markers, shaded transition regions, and detector latency metrics in the Drift Detection tab.
+  - Ground-truth drifting features banner in the Feature Importance Analysis tab.
+- **Agentic Release Governance**:
+  - Release management standards ([`.agents/rules/release_standards.md`](.agents/rules/release_standards.md)) and autonomous deployment skill ([`.agents/skills/release-management/SKILL.md`](.agents/skills/release-management/SKILL.md)).
+
 ## [0.1.0] - 2026-10-05
 
 ### Added

src/stride/__init__.py

@@ -32,7 +32,7 @@
 recurrence = xai.recurrence
 descriptive_statistics = xai.stats
 
-__version__ = "0.1.0"
+__version__ = "0.2.0"
 
 __all__ = [
     "__version__",