Model.plot_cos2

In [ ]:
Model.plot_cos2(dimensions: tuple = (1, 2),
                ax=None, 
                **style_kwds,)

Draws a MCA cos2 plot of the two input dimensions.

Parameters

Name Type Optional Description
dimensions
tuple
✓
Tuple of two IDs of the model's components.
ax
Matplotlib axes object
✓
The axes to plot on.
**style_kwds
any
✓
Any optional parameter to pass to the Matplotlib functions.

Returns

ax : Matplotlib axes object

Example

In [12]:
from verticapy.datasets import load_titanic
titanic = load_titanic()

# Computing the Transformed Completely Disjontive Table before fitting the model
tcdt = titanic[["survived", "pclass", "sex"]].cdt()

from verticapy.learn.decomposition import MCA

model = MCA(name = "public.mca_titanic")
model.fit(tcdt)
model.plot_cos2()
Out[12]:
<AxesSubplot:title={'center':'Cos2 of variables to Dim 1-2'}, ylabel='Cos2 - Quality of Representation'>