Features
-
T0 foundation model: Added support for T0, an open-weights time series foundation model from The Forecasting Company. Use it via the
T0class. See #348.import pandas as pd from timecopilot.models.foundation.t0 import T0 df = pd.read_csv( "https://timecopilot.s3.amazonaws.com/public/data/air_passengers.csv", parse_dates=["ds"], ) model = T0() fcst_df = model.forecast(df, h=12)
-
timecopilot-tirex bump: Bumped
timecopilot-tirexto>=0.1.1and updated theTiRexintegration to align with the new API. TiRex now returns the model's default quantile knots (0.1–0.9) and validates that custom quantile requests match that set. See #346.
Fixes
- Relax dependencies: Relaxed several pinned core dependencies (
lightning,logfire,opentelemetry-api,opentelemetry-sdk) to minimum-version constraints, movedrayto thedistributedoptional extra, and removedwandbfrom core dependencies to reduce install conflicts. See #355.
New Contributors
Full Changelog: v0.0.27...v0.0.28