Model.plot¶

In [ ]:

Model.plot(color: str = "#FE5016", 
           ax=None,
           **style_kwds,)

Draws the kernel density estimation of the model.

Parameters¶

Name	Type	Optional	Description
color	str	✓	The Plot color.
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 [2]:

# KDE
from verticapy.learn.neighbors import KernelDensity
model = KernelDensity(name = "public.KDE_iris", nbins = 40)
model.drop()
model.fit("public.iris", 
          ["PetalLengthCm", "PetalWidthCm"])
model.plot()

Out[2]:

<AxesSubplot:xlabel='"PetalLengthCm"', ylabel='"PetalWidthCm"'>