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476052a
feat: add newest version chronos-forecasting
AzulGarza Mar 17, 2026
03f3c86
feat: add missing deps
AzulGarza Mar 17, 2026
1543d80
feat: add init version chronos finetunning
AzulGarza Mar 17, 2026
d30b81a
docs: add finetunning config to docs
AzulGarza Mar 17, 2026
05b27db
feat: add better doc chronos finetunning
AzulGarza Mar 17, 2026
bd29dc8
tests: chronos save model functionality
AzulGarza Mar 17, 2026
d187e43
feat: add save path model functionality
AzulGarza Mar 17, 2026
490d190
tests: add finetunning models
AzulGarza Mar 17, 2026
74e5c33
fix: handle lora finetunning
AzulGarza Mar 17, 2026
984e7f6
docs: add finetunning example
AzulGarza Mar 17, 2026
b529b3d
fix: lint issues
AzulGarza Mar 17, 2026
f5ae06a
tests: rm finetune from main tests
AzulGarza Mar 17, 2026
e0c1160
tests: dedicate finetune tests for chronos
AzulGarza Mar 17, 2026
4ce2b65
fix: cap transformers
AzulGarza Mar 17, 2026
f2a0bd3
Merge branch 'main' into feat/funetunning-chronos
AzulGarza Mar 17, 2026
956d03a
fix: style things
AzulGarza Mar 17, 2026
7aeebbc
fix: merge branch 'feat/funetunning-chronos' of https://github.com/Ti…
AzulGarza Mar 17, 2026
137bb6c
fix: rm unused cell
AzulGarza Mar 17, 2026
98f902d
fix: add correct docstring
AzulGarza Mar 17, 2026
f1ef9e8
fix: add torch_dtype as in chronos
AzulGarza Mar 17, 2026
dbb580a
fix: merge branch 'main' of https://github.com/TimeCopilot/timecopilo…
AzulGarza Mar 17, 2026
f6bb150
release: v0.0.24
AzulGarza Mar 17, 2026
bf63d71
fix: style
AzulGarza Mar 17, 2026
5daf361
fix: add correct link
AzulGarza Mar 17, 2026
b3ad454
fix: add correct version
AzulGarza Mar 17, 2026
f749c03
fix: latest changelog
AzulGarza Mar 17, 2026
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1 change: 1 addition & 0 deletions docs/changelogs/index.md
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Expand Up @@ -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.


- [v0.0.24](v0.0.24.md)
- [v0.0.23](v0.0.23.md)
- [v0.0.22](v0.0.22.md)
- [v0.0.21](v0.0.21.md)
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79 changes: 79 additions & 0 deletions docs/changelogs/v0.0.24.md
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@@ -0,0 +1,79 @@
### Features

* **Chronos 2 finetuning**: Finetuning is now supported for Chronos 2. You can adapt the pre-trained model to your data before forecasting via `ChronosFinetuningConfig`, with options for full parameter update or LoRA, and optional saving of the finetuned checkpoint for reuse. See [#323](https://github.com/TimeCopilot/timecopilot/pull/323) and the [Finetuning Foundation Models](https://timecopilot.dev/examples/finetuning/) example for a full walkthrough.

```python
import pandas as pd
from timecopilot.models.foundation.chronos import Chronos, ChronosFinetuningConfig

df = pd.read_csv(
"https://timecopilot.s3.amazonaws.com/public/data/events_pageviews.csv",
parse_dates=["ds"],
)

# Chronos 2 with finetuning (full or LoRA)
model = Chronos(
repo_id="autogluon/chronos-2-small",
alias="chronos-2-finetuned",
finetuning_config=ChronosFinetuningConfig(
finetune_steps=10,
finetune_mode="lora", # or "full"
save_path="./chronos-2-finetuned/", # optional: reuse later with repo_id=save_path, finetuning_config=None
),
)

fcst_df = model.forecast(df, h=12)
print(fcst_df)
```

* **PatchTST-FM foundation model**: Added [PatchTST-FM](https://huggingface.co/ibm-research/patchtst-fm-r1), a Time Series Foundation Model from IBM Research. Use it via the `PatchTSTFM` class. See [#312](https://github.com/TimeCopilot/timecopilot/pull/312) and the [PatchTST-FM example](https://timecopilot.dev/examples/patchtst-fm/).

```python
import pandas as pd
from timecopilot.models.foundation.patchtst_fm import PatchTSTFM

df = pd.read_csv(
"https://timecopilot.s3.amazonaws.com/public/data/events_pageviews.csv",
parse_dates=["ds"],
)

model = PatchTSTFM() # defaults to ibm-research/patchtst-fm-r1
fcst_df = model.forecast(df, h=12)
print(fcst_df)
```

### Fixes

* **Chronos default dtype**: Changed Chronos default dtype from `bfloat16` to `float32` for better compatibility on systems without bfloat16 support. See [#309](https://github.com/TimeCopilot/timecopilot/pull/309).

* **FlowState h=1 crash**: Fixed a crash in FlowState when using horizon `h=1`. See [#305](https://github.com/TimeCopilot/timecopilot/pull/305).

* **AWS Bedrock connection**: Fixed Bedrock connection error caused by a missing description. See [#311](https://github.com/TimeCopilot/timecopilot/pull/311).

* **Slow pip install**: Improved pip install performance. See [#306](https://github.com/TimeCopilot/timecopilot/pull/306).

### Documentation

* **sktime integration blog post**: Added a blog post on using timecopilot with the sktime forecasting ecosystem. See [#301](https://github.com/TimeCopilot/timecopilot/pull/301) and [#304](https://github.com/TimeCopilot/timecopilot/pull/304).

* **Newsletter and contact**: Added newsletter signup and "Talk to Us" button to the docs. See [#303](https://github.com/TimeCopilot/timecopilot/pull/303).

* **Contributing and issue template**: Fixed timecopilot fork links in `contributing.md` and updated the issue template to use the correct repository link. See [#314](https://github.com/TimeCopilot/timecopilot/pull/314) and [#315](https://github.com/TimeCopilot/timecopilot/pull/315).

### Continuous Integration

* **TOML check in CI**: CI now validates TOML configuration. See [#319](https://github.com/TimeCopilot/timecopilot/pull/319).

### Other

* **Hugging Face Hub**: Bumped `huggingface_hub` to v0.36.2. See [#300](https://github.com/TimeCopilot/timecopilot/pull/300).

## New Contributors

* @khuyentran1401 made their first contribution in [#301](https://github.com/TimeCopilot/timecopilot/pull/301)
* @rebot-eng made their first contribution in [#309](https://github.com/TimeCopilot/timecopilot/pull/309)
* @JoseCelis made their first contribution in [#311](https://github.com/TimeCopilot/timecopilot/pull/311)

---

**Full Changelog**: https://github.com/TimeCopilot/timecopilot/compare/v0.0.23...v0.0.24
2 changes: 1 addition & 1 deletion docs/examples/finetuning.ipynb
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"source": [
"## Load the dataset\n",
"\n",
"We use the same events pageviews dataset as in the [Chronos family](chronos-family.ipynb) example."
"We use the same events pageviews dataset as in the [Chronos family](https://timecopilot.dev/examples/chronos-family/) example."
]
},
{
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1 change: 1 addition & 0 deletions mkdocs.yml
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Expand Up @@ -52,6 +52,7 @@ nav:
- api/gift-eval/gift-eval.md
- Changelogs:
- changelogs/index.md
- changelogs/v0.0.24.md
- changelogs/v0.0.23.md
- changelogs/v0.0.22.md
- changelogs/v0.0.21.md
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -106,7 +106,7 @@ license = "MIT"
name = "timecopilot"
readme = "README.md"
requires-python = ">=3.10"
version = "0.0.23"
version = "0.0.24"

[project.scripts]
timecopilot = "timecopilot._cli:main"
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2 changes: 1 addition & 1 deletion uv.lock

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