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I have an example where a multilabel PointCloud has a sample with shape (7,3) but the rotation matrix ends up as (2,3) and the mean ends up as (3,3). Tracking down where the mismatch happens.
The text was updated successfully, but these errors were encountered:
The above report was slightly incorrect.
The problem occurs when the number of points in the sample is less then the dimension.
It is fixed by changing line 570 of multidim/models.py from if count <= 1: to if count < ambient_dim:
I have an example where a multilabel PointCloud has a
sample
with shape(7,3)
but the rotation matrix ends up as(2,3)
and themean
ends up as(3,3)
. Tracking down where the mismatch happens.The text was updated successfully, but these errors were encountered: