release: v0.0.25 (#333)

* chore: bump version 0.0.25

* docs: release changelog

* fix: sort uv lock

* fix: nb

Author: AzulGarza

docs/changelogs/index.md

@@ -3,6 +3,7 @@
 Welcome to the TimeCopilot Changelog. Here, you will find a comprehensive list of all the changes, updates, and improvements made to the TimeCopilot project. This section is designed to keep you informed about the latest features, bug fixes, and enhancements as we continue to develop and refine the TimeCopilot experience. Stay tuned for regular updates and feel free to explore the details of each release below.
 
 
+- [v0.0.25](v0.0.25.md)
 - [v0.0.24](v0.0.24.md)
 - [v0.0.23](v0.0.23.md)
 - [v0.0.22](v0.0.22.md)

docs/changelogs/v0.0.25.md

@@ -0,0 +1,29 @@
+### Features
+
+* **TimeGPT finetuning**: Finetuning is now supported for TimeGPT. You can adapt the pre-trained model to your data before forecasting via `TimeGPTFinetuningConfig`, with options for loss function and finetuning depth. See [#332](https://github.com/TimeCopilot/timecopilot/pull/332) and the [Finetuning Foundation Models](https://timecopilot.dev/examples/finetuning/) example for a full walkthrough.
+
+    ```python
+    import pandas as pd
+    from timecopilot.models.foundation.timegpt import TimeGPT, TimeGPTFinetuningConfig
+
+    df = pd.read_csv(
+        "https://timecopilot.s3.amazonaws.com/public/data/events_pageviews.csv",
+        parse_dates=["ds"],
+    )
+
+    model = TimeGPT(
+        finetuning_config=TimeGPTFinetuningConfig(
+            finetune_steps=10,
+            finetune_loss="mse",
+        ),
+        alias="TimeGPT-finetuned",
+    )
+    ```
+
+### Documentation
+
+* **Finetuning evaluation example**: Added a finetuning evaluation section to the [Finetuning Foundation Models](https://timecopilot.dev/examples/finetuning/) notebook, comparing MAPE across different `finetune_steps` values via cross-validation. See [#326](https://github.com/TimeCopilot/timecopilot/pull/326).
+
+---
+
+**Full Changelog**: https://github.com/TimeCopilot/timecopilot/compare/v0.0.24...v0.0.25