In [1]:

import numpy as np

from krmining.classification import LogisticRegression

import numpy as np from krmining.classification import LogisticRegression

Info¶

• The model is still in development.
• The model is still need to be optimize
• The model is using OneVsAll(OneVsRest) method

Using dummy data¶

In [2]:

X = [[-0.94811012], 
     [-0.62510428], 
     [0.541039], 
     [0.55501738], 
     [-1.69834878], 
     [-1.62414782], 
     [-0.09021422], 
     [0.4195677], 
     [0.3861758],
     [1.78107583]]

y = [1, 1, 1, 0, 0, 0, 1, 0, 0, 1]

X = [[-0.94811012], [-0.62510428], [0.541039], [0.55501738], [-1.69834878], [-1.62414782], [-0.09021422], [0.4195677], [0.3861758], [1.78107583]] y = [1, 1, 1, 0, 0, 0, 1, 0, 0, 1]

In [4]:

lgr = LogisticRegression()
lgr.fit(X, y)

lgr = LogisticRegression() lgr.fit(X, y)

c:\Users\Bina Umat\Desktop\Project\krmining_project\keyar-mining\krmining\classification\_logistic_regression.py:39: UserWarning: The model still in maintaining in slow or extended memory
  warnings.warn(

Out[4]:

<krmining.classification._logistic_regression.LogisticRegression at 0x1e7f9d667c0>

In [5]:

lgr.predict(X)

lgr.predict(X)

Out[5]:

array([[0.52671711, 0.47328289],
       [0.51747205, 0.48252795],
       [0.48404104, 0.51595896],
       [0.48364057, 0.51635943],
       [0.54810921, 0.45189079],
       [0.54600006, 0.45399994],
       [0.50213917, 0.49786083],
       [0.48752185, 0.51247815],
       [0.48847894, 0.51152106],
       [0.44865452, 0.55134548]])