v0.0.10 (#69)

Author: AzulGarza

.github/workflows/ci.yaml

@@ -34,7 +34,7 @@ jobs:
         run: uv run pytest
 
       - name: Test import class
-        run: uv run -- python -c "from timecopilot import TimeCopilot" 
+        run: uv run -- python -c "from timecopilot import TimeCopilot, TimeCopilotForecaster" 
 
   test-live:
     name: test live

docs/changelogs/index.md

@@ -0,0 +1,6 @@
+# Changelog
+
+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.
+
+
+- [v0.0.10](v0.0.10.md)

docs/changelogs/v0.0.10.md

@@ -0,0 +1,64 @@
+
+### Features
+* **TimeCopilotForecaster Class**: Introduced the `TimeCopilotForecaster` class to enhance forecasting capabilities. See [#48](https://github.com/AzulGarza/timecopilot/pull/48).
+    - **Example**: 
+        ```python
+        import pandas as pd
+
+        from timecopilot import TimeCopilotForecaster
+        from timecopilot.models.benchmarks import SeasonalNaive
+        from timecopilot.models.foundational import TimesFM
+
+        df = pd.read_csv("data/algeria_exports.csv", parse_dates=["ds"])
+        forecaster = TimeCopilotForecaster(models=[TimesFM(), SeasonalNaive()])
+        fcsts_df = forecaster.forecast(df=df, h=12, freq="MS")
+        ```
+
+* **Probabilistic Forecasts**: Added support for probabilistic forecasts in the forecaster class. See [#50](https://github.com/AzulGarza/timecopilot/pull/50).
+    - **Example**:
+        ```python
+        import pandas as pd
+
+        from timecopilot import TimeCopilotForecaster
+        from timecopilot.models.benchmarks import SeasonalNaive, Prophet
+        from timecopilot.models.foundational import TimesFM
+
+        df = pd.read_csv("data/algeria_exports.csv", parse_dates=["ds"])
+        forecaster = TimeCopilotForecaster(models=[TimesFM(), SeasonalNaive()])
+        fcsts_df_level = forecaster.forecast(
+            df=df, 
+            h=12, 
+            freq="MS", 
+            level=[80, 90],
+        )
+        fcsts_df_quantiles = forecaster.forecast(
+            df=df, 
+            h=12, 
+            freq="MS", 
+            quantiles=[0.1, 0.9],
+        )
+        ```
+
+* **Integration with External Libraries**:
+    - **timesfm**: Added Google's foundation model [TimesFM](https://github.com/google-research/timesfm). See [#55](https://github.com/AzulGarza/timecopilot/pull/55).
+    - **chronos**: Added AWS AI Labs's foundation model [Chronos](https://arxiv.org/abs/2403.07815). See [#59](https://github.com/AzulGarza/timecopilot/pull/59).
+    - **Prophet**: Added Facebook's [Prophet](https://facebook.github.io/prophet/) to available models. See [#61](https://github.com/AzulGarza/timecopilot/pull/61).
+
+
+* **Multi-series Support**: Enhanced the agent to handle multiple time series. See [#64](https://github.com/AzulGarza/timecopilot/pull/64).
+    - **Example**:
+        ```python
+        from timecopilot import TimeCopilot
+        
+        tc = TimeCopilot()
+        # now the forecast method can handle multiple time series
+        tc.forecast(...)
+        ```
+
+* **Agent Integration**: Utilized the TimeCopilotForecaster class within the agent. See [#65](https://github.com/AzulGarza/timecopilot/pull/65).
+
+### Tests
+* **Basic Functionality Tests**: Added tests for basic functionality to ensure reliability. See [#43](https://github.com/AzulGarza/timecopilot/pull/43).
+
+### Fixes
+* **CI Improvements**: Implemented a fix to cancel concurrent CI runs, optimizing the CI process. See [#63](https://github.com/AzulGarza/timecopilot/pull/63).

docs/roadmap.md

@@ -1,4 +1,4 @@
-TimeCopilot is under active development with a clear roadmap ahead.
+TimeCopilot is under active development with a clear roadmap ahead. Please visit our [issue tracker](https://github.com/AzulGarza/timecopilot/issues) on GitHub to stay updated on the latest features, report issues, and contribute to the project.
 
 ### Core Features in Progress
 

mkdocs.yml

@@ -23,6 +23,9 @@ nav:
   - API Reference:
       - api/agent.md
       - models/utils/forecaster.md
+  - Changelogs:
+      - changelogs/index.md
+      - changelogs/v0.0.10.md
 
 theme:
   name: "material"

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "timecopilot"
-version = "0.0.9"
+version = "0.0.10"
 requires-python = ">=3.10"
 description = "The GenAI Forecasting Agent · LLMs × Foundation Time Series Models"
 authors = [

timecopilot/__init__.py

@@ -1,3 +1,4 @@
 from .agent import TimeCopilot
+from .forecaster import TimeCopilotForecaster
 
-__all__ = ["TimeCopilot"]
+__all__ = ["TimeCopilot", "TimeCopilotForecaster"]

timecopilot/models/benchmarks/__init__.py

@@ -1,3 +1,4 @@
+from .prophet import Prophet
 from .stats import (
     ADIDA,
     IMAPA,
@@ -20,6 +21,7 @@
     "CrostonClassic",
     "DOTheta",
     "HistoricAverage",
+    "Prophet",
     "IMAPA",
     "SeasonalNaive",
     "Theta",