tempor.methods.prediction.temporal.regression package¶

Submodules¶

Module contents¶

Temporal regression estimators.

class tempor.methods.prediction.temporal.regression.BaseTemporalRegressor(**params: Any)[source]¶

Bases: BasePredictor

Base class for temporal regression estimators.

Parameters:¶

**params : Any

Parameters and defaults as defined in BasePredictorParams.

fit(data: BaseDataset, *args: Any, **kwargs: Any) → Self[source]¶

Fit the method to the data.

Parameters:¶

data : dataset.BaseDataset¶

The dataset to fit the model to.

*args : Any

Additional arguments to pass to the _fit method.

**kwargs : Any

Additional keyword arguments to pass to the _fit method.

Returns:¶

The fitted model.

Return type:¶

Self

predict(data: PredictiveDataset, n_future_steps: int, *args: Any, time_delta: int = 1, **kwargs: Any) → TimeSeriesSamplesBase[source]¶

Predicts the target variable for the given data.

Parameters:¶

data : dataset.PredictiveDataset¶

The dataset to predict on.

*args : Any

Additional positional arguments passed to the implementation (_predict).

**kwargs : Any

Additional keyword arguments passed to the implementation (_predict).

Returns:¶

The predictions.

Return type:¶

Any