There is no dataset parameter in the run_model_bpa_bulk function.
Version: 0.8.4
def run_model_bpa_bulk(
rules: Optional[pd.DataFrame] = None,
extended: bool = False,
language: Optional[str] = None,
workspace: Optional[str | List[str]] = None,
skip_models: Optional[str | List[str]] = ["ModelBPA", "Fabric Capacity Metrics"],
):
"""
Runs the semantic model Best Practice Analyzer across all semantic models in a workspace (or all accessible workspaces).
Saves (appends) the results to the 'modelbparesults' delta table in the lakehouse attached to the notebook.
Default semantic models are skipped in this analysis.
Parameters
----------
dataset : str
Name of the semantic model.
There is no dataset parameter in the run_model_bpa_bulk function. Version: 0.8.4
def run_model_bpa_bulk( rules: Optional[pd.DataFrame] = None, extended: bool = False, language: Optional[str] = None, workspace: Optional[str | List[str]] = None, skip_models: Optional[str | List[str]] = ["ModelBPA", "Fabric Capacity Metrics"], ): """ Runs the semantic model Best Practice Analyzer across all semantic models in a workspace (or all accessible workspaces). Saves (appends) the results to the 'modelbparesults' delta table in the lakehouse attached to the notebook. Default semantic models are skipped in this analysis.