cmip6_downscaling.methods.gard.tasks.fit_and_predict#
- cmip6_downscaling.methods.gard.tasks.fit_and_predict = <Task: fit_and_predict>[source]#
Prepare inputs (e.g. normalize), use them to fit a GARD model based upon specified parameters and then use that fitted model to make a prediction.
- Parameters:
- xtrain_pathUPath
Path to training dataset (interpolated GCM) chunked full_time
- ytrain_pathUPath
Path to target dataset (interpolated obs) chunked full_time
- xhist_path: UPath
Path to historical prediction dataset (interpolated GCM)
- xpred_pathUPath
Path to future prediction dataset (interpolated GCM) chunked full_time
- scrf_pathUPath
Path to scrf chunked in full_time
- run_parametersRunParameters
Parameters for run set-up and model specs
- dimstr, optional
Dimension to apply the model along. Default is
time.
- Returns:
- pathUPath
Path to output dataset chunked full_time