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I train the SOM and when I call view_component_planes(), the figures are completely blank an the console prints the following warnings:
matplotlib\image.py:405: UserWarning: Warning: converting a masked element to nan.
dv = (np.float64(self.norm.vmax) -
matplotlib\image.py:406: UserWarning: Warning: converting a masked element to nan.
np.float64(self.norm.vmin))
matplotlib\image.py:413: UserWarning: Warning: converting a masked element to nan.
a_min = np.float64(newmin)
matplotlib\image.py:418: UserWarning: Warning: converting a masked element to nan.
a_max = np.float64(newmax)
matplotlib\colors.py:916: UserWarning: Warning: converting a masked element to nan.
dtype = np.min_scalar_type(value)
\numpy\ma\core.py:716: UserWarning: Warning: converting a masked element to nan.
data = np.array(a, copy=False, subok=subok)
I followed the Planar Maps example, only changing the original dataset for my own data and even so it doesn't work. My dataset has 268 columns.
When I try to run it with only three columns (as in the example, it worked)
Is there any known issue related to the number of columns?
The text was updated successfully, but these errors were encountered:
Hello Peter,
I train the SOM and when I call view_component_planes(), the figures are completely blank an the console prints the following warnings:
matplotlib\image.py:405: UserWarning: Warning: converting a masked element to nan.
dv = (np.float64(self.norm.vmax) -
matplotlib\image.py:406: UserWarning: Warning: converting a masked element to nan.
np.float64(self.norm.vmin))
matplotlib\image.py:413: UserWarning: Warning: converting a masked element to nan.
a_min = np.float64(newmin)
matplotlib\image.py:418: UserWarning: Warning: converting a masked element to nan.
a_max = np.float64(newmax)
matplotlib\colors.py:916: UserWarning: Warning: converting a masked element to nan.
dtype = np.min_scalar_type(value)
\numpy\ma\core.py:716: UserWarning: Warning: converting a masked element to nan.
data = np.array(a, copy=False, subok=subok)
I followed the Planar Maps example, only changing the original dataset for my own data and even so it doesn't work. My dataset has 268 columns.
When I try to run it with only three columns (as in the example, it worked)
Is there any known issue related to the number of columns?
The text was updated successfully, but these errors were encountered: