def render_time_series(
results: view_types.EvalResults,
slicing_spec: Optional[Union[slicer.SingleSliceSpec,
config_pb2.SlicingSpec]] = None,
display_full_path: bool = False
) -> Optional[visualization.TimeSeriesViewer]: # pytype: disable=invalid-annotation
"""Renders the time series view as widget.
Args:
results: An tfma.EvalResults.
slicing_spec: A tfma.SlicingSpec determining the slice to show time series
on. Show overall if not set.
display_full_path: Whether to display the full path to model / data in the
visualization or just show file name.
Returns:
A TimeSeriesViewer object if in Jupyter notebook; None if in Colab.
"""
if slicing_spec and isinstance(slicing_spec, config_pb2.SlicingSpec):
slicing_spec = slicer.SingleSliceSpec(spec=slicing_spec)
slice_spec_to_use = slicing_spec if slicing_spec else slicer.SingleSliceSpec(
)
data = util.get_time_series(results, slice_spec_to_use, display_full_path)
cfg = {
'isModelCentric': results.get_mode() == constants.MODEL_CENTRIC_MODE
}
return visualization.render_time_series(data, cfg)
def render_time_series(results, slice_spec=None, display_full_path=False):
"""Renders the time series view as widget.
Args:
results: An tfma.EvalResults.
slice_spec: A slicing spec determining the slice to show time series on.
Show overall if not set.
display_full_path: Whether to display the full path to model / data in the
visualization or just show file name.
Returns:
A TimeSeriesViewer object if in Jupyter notebook; None if in Colab.
"""
slice_spec_to_use = slice_spec if slice_spec else SingleSliceSpec()
data = util.get_time_series(results, slice_spec_to_use, display_full_path)
config = {
'isModelCentric': results.get_mode() == constants.MODEL_CENTRIC_MODE
}
return visualization.render_time_series(data, config)