Grid Search CV

Grid Search CV.py

param_grid = {
    'weights' : ['uniform', 'distance'],
    'algorithm' : ['auto', 'ball_tree', 'kd_tree', 'brute'],
    'leaf_size' : [30, 40, 50],
    'n_neighbors' : [5, 10, 15],
}
gridSearchCV = GridSearchCV(KNeighborsRegressor(),param_grid=param_grid,n_jobs=-1)

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param_grid = {
    'fit_intercept' : [True, False],
    'normalize' : [True, False],
    'max_iter' : [1000, 2000],
    'warm_start' : [True, False],
}
gridSearchCV = GridSearchCV(Lasso(),param_grid=param_grid,n_jobs=-1)
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param_grid = {
    'C': [0.001,0.01,0.1,1,10,100,1000],
    'fit_intercept' : [True, False],
    'solver' : ['newton-cg', 'lbfgs', 'liblinear'],
    'max_iter': [100,200]
}
gridSearchCV = GridSearchCV(LogisticRegression(),param_grid=param_grid,n_jobs=-1)
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