Voting classifier grid search

from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.ensemble import VotingClassifier
from sklearn.model_selection import GridSearchCV

X = np.array([[-1.0, -1.0], [-1.2, -1.4], [-3.4, -2.2], [1.1, 1.2],[-1.0, -1.0], [-1.2, -1.4], [-3.4, -2.2], [1.1, 1.2]])
y = np.array([1, 1, 2, 2,1, 1, 2, 2])

eclf = VotingClassifier(estimators=[ 
    ('svm', SVC(probability=True)),
    ('lr', LogisticRegression()),
    ], voting='soft')

#Use the key for the classifier followed by __ and the attribute
params = {'lr__C': [1.0, 100.0],
      'svm__C': [2,3,4],}

grid = GridSearchCV(estimator=eclf, param_grid=params, cv=2)

grid.fit(X,y)

print (grid.best_params_)
#{'lr__C': 1.0, 'svm__C': 2}

Source: stackoverflow.com

Similar codes

0 vote127 views1 answer
Spread dictionary python
Python
1 vote131 views1 answer
Knowing the sum null values in a specific row in pandas dataframe
Python
24 votes120 views5 answers
Load static
Python
8 votes127 views3 answers
Python split string to sentences
Python
8 votes129 views2 answers
Loop through list backwards python
Python
0 vote122 views1 answer
Python convert a dict to list or a list to dict or a slice a dict or sort a dict by key or value without import
Python
0 vote139 views1 answer
Python missing characters hackerrank solution
Python
1 vote129 views1 answer
How to sort dict by value
Python
0 vote123 views1 answer
Python list to tuple pairs adjacent
Python
2 votes171 views2 answers
Python program to print list vertically without using loop
Python