Use the Anaconda Python installation.
"You won't find the right answers if you don't ask the right questions!"
(Robert Helmbold, 2013)
On Wednesday, January 20, 2021, 04:16:15 PM MST, Guillaume Lemaître
wrote:
#yiv4846675950
#yiv4846675950response_container_BBPPID{font-family:initial
[scikit-learn] Drawing contours in KMeans4
Mebbe principal components analysis would suggest an ellipsoid containing
"most" of the points in a "cloud".
"You won't find the right answers if you don't ask the right questions!"
(Robert Helmbold, 2013)
On Wednesday, December 9, 2020, 12:22:
().fit(Xnp,ynp)
[]’s
Maykon Schots
Em dom., 1 de nov. de 2020 às 23:41, The Helmbolds via scikit-learn
escreveu:
What parentheses?Enclosing what?
"You won't find the right answers if you don't ask the right questions!"
(Robert Helmbold, 2013)
On Sunday, November 1, 2
egression
On Sun, 1 Nov 2020 at 22:55, The Helmbolds via scikit-learn
wrote:
Here's my ynp and Xnp arrays:
Print ynp
[0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 1 1 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1
1 0 1 1 1 1 1 1 1
Here's my ynp and Xnp arrays:
Print ynp
[0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 1 1 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1
1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0
1 1 1 0 1 1 1 1 1 1 1 1 0 0 1
I have a case with binary results and 1-D features, like:
X = np.array(-3,-2,-1,0,1,2,3,)
and
y = np.array(0, 0, 0, 1, 1, 1, 1)
only longer arrays (about 180 entries in each array) of this general type.
So this should be the "simplest" case.
Altho I've tried several variations of the Logi
