TabPFN-TS: Zero-shot time series forecasting with TabPFNv2. Reframes forecasting as tabular regression. Supports point and probabilistic forecasts with native covariate integration. Requires tabpfn-time-series.

TabpfnTsHyperparams

tabpfn_ts_model.TabpfnTsHyperparams · inherits PydanticBaseModel

(undocumented)

TabpfnTsModel

tabpfn_ts_model.TabpfnTsModel · inherits BaseModel

(undocumented)

__init__(self, params: Dict[str, Any], settings: Dict[str, Any])

(undocumented)

Parameter	Type	Default	Description
params	Dict[str, Any]	-	(undocumented)
settings	Dict[str, Any]	-	(undocumented)

train(self, y_context: np.ndarray, y_target: np.ndarray, timestamps_context: np.ndarray, timestamps_target: np.ndarray, x_context: Optional[np.ndarray] = None, x_target: Optional[np.ndarray] = None, **kwargs) -> TabpfnTsModel

(undocumented)

Parameter	Type	Default	Description
y_context	np.ndarray	-	(undocumented)
y_target	np.ndarray	-	(undocumented)
timestamps_context	np.ndarray	-	(undocumented)
timestamps_target	np.ndarray	-	(undocumented)
x_context	Optional[np.ndarray]	None	(undocumented)
x_target	Optional[np.ndarray]	None	(undocumented)
**kwargs		-	(undocumented)

Returns: TabpfnTsModel (the fitted model).

predict(self, y_context: np.ndarray, timestamps_context: np.ndarray, timestamps_target: np.ndarray, x_context: Optional[np.ndarray] = None, x_target: Optional[np.ndarray] = None, **kwargs) -> np.ndarray

(undocumented)

Parameter	Type	Default	Description
y_context	np.ndarray	-	(undocumented)
timestamps_context	np.ndarray	-	(undocumented)
timestamps_target	np.ndarray	-	(undocumented)
x_context	Optional[np.ndarray]	None	(undocumented)
x_target	Optional[np.ndarray]	None	(undocumented)
**kwargs		-	(undocumented)

Returns: np.ndarray (undocumented).