[scikit-learn] Issue with Sklearn.Logistic Regression

[The Helmbolds]

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, 2020, 02:58:46 PM MST, Guillaume Lemaître <g.lemaitre58 at gmail.com> wrote:  
 
 You forgot the parentheses to instantiate the object LogisticRegression

On Sun, 1 Nov 2020 at 22:55, The Helmbolds via scikit-learn <scikit-learn at python.org> 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 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 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1
 1 1 1 1 1 1 1 1 1 1 1 1]
Shape of ynp = 160

    Print Xnp
[-3.00000000e+00 -2.95000000e+00 -2.90000000e+00 -2.85000000e+00
 -2.80000000e+00 -2.75000000e+00 -2.70000000e+00 -2.65000000e+00
 -2.60000000e+00 -2.55000000e+00 -2.50000000e+00 -2.45000000e+00
 -2.40000000e+00 -2.35000000e+00 -2.30000000e+00 -2.25000000e+00
 -2.20000000e+00 -2.15000000e+00 -2.10000000e+00 -2.05000000e+00
 -2.00000000e+00 -1.95000000e+00 -1.90000000e+00 -1.85000000e+00
 -1.80000000e+00 -1.75000000e+00 -1.70000000e+00 -1.65000000e+00
 -1.60000000e+00 -1.55000000e+00 -1.50000000e+00 -1.45000000e+00
 -1.40000000e+00 -1.35000000e+00 -1.30000000e+00 -1.25000000e+00
 -1.20000000e+00 -1.15000000e+00 -1.10000000e+00 -1.05000000e+00
 -1.00000000e+00 -9.50000000e-01 -9.00000000e-01 -8.50000000e-01
 -8.00000000e-01 -7.50000000e-01 -7.00000000e-01 -6.50000000e-01
 -6.00000000e-01 -5.50000000e-01 -5.00000000e-01 -4.50000000e-01
 -4.00000000e-01 -3.50000000e-01 -3.00000000e-01 -2.50000000e-01
 -2.00000000e-01 -1.50000000e-01 -1.00000000e-01 -5.00000000e-02
 -2.28983499e-15  5.00000000e-02  1.00000000e-01  1.50000000e-01
  2.00000000e-01  2.50000000e-01  3.00000000e-01  3.50000000e-01
  4.00000000e-01  4.50000000e-01  5.00000000e-01  5.50000000e-01
  6.00000000e-01  6.50000000e-01  7.00000000e-01  7.50000000e-01
  8.00000000e-01  8.50000000e-01  9.00000000e-01  9.50000000e-01
  1.00000000e+00  1.05000000e+00  1.10000000e+00  1.15000000e+00
  1.20000000e+00  1.25000000e+00  1.30000000e+00  1.35000000e+00
  1.40000000e+00  1.45000000e+00  1.50000000e+00  1.55000000e+00
  1.60000000e+00  1.65000000e+00  1.70000000e+00  1.75000000e+00
  1.80000000e+00  1.85000000e+00  1.90000000e+00  1.95000000e+00
  2.00000000e+00  2.05000000e+00  2.10000000e+00  2.15000000e+00
  2.20000000e+00  2.25000000e+00  2.30000000e+00  2.35000000e+00
  2.40000000e+00  2.45000000e+00  2.50000000e+00  2.55000000e+00
  2.60000000e+00  2.65000000e+00  2.70000000e+00  2.75000000e+00
  2.80000000e+00  2.85000000e+00  2.90000000e+00  2.95000000e+00
  3.00000000e+00  3.05000000e+00  3.10000000e+00  3.15000000e+00
  3.20000000e+00  3.25000000e+00  3.30000000e+00  3.35000000e+00
  3.40000000e+00  3.45000000e+00  3.50000000e+00  3.55000000e+00
  3.60000000e+00  3.65000000e+00  3.70000000e+00  3.75000000e+00
  3.80000000e+00  3.85000000e+00  3.90000000e+00  3.95000000e+00
  4.00000000e+00  4.05000000e+00  4.10000000e+00  4.15000000e+00
  4.20000000e+00  4.25000000e+00  4.30000000e+00  4.35000000e+00
  4.40000000e+00  4.45000000e+00  4.50000000e+00  4.55000000e+00
  4.60000000e+00  4.65000000e+00  4.70000000e+00  4.75000000e+00
  4.80000000e+00  4.85000000e+00  4.90000000e+00  4.95000000e+00]
Shape of Xnp = 160
   Press ENTER to continue = 

    Now Call Logistic Regression
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-3-300811cacc0b> in <module>
    103 
    104 aprint("Now Call Logistic Regression")
--> 105 logreg = LogisticRegression.fit(Xnp, ynp)
    106 aprint("Print logreg output")
    107 print(logreg)

TypeError: fit() missing 1 required positional argument: 'y'

Eh!?!?
What happened??? 




"You won't find the right answers if you don't ask the right questions!" (Robert Helmbold, 2013)_______________________________________________
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-- 
Guillaume Lemaitre
Scikit-learn @ Inria Foundation
https://glemaitre.github.io/_______________________________________________
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