knn.fit(X_train, y_train) not showing parameters

Question

The output it shows, is below.

enter image description here

I expected the output to be:

`KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',
metric_params=None, n_jobs=1, n_neighbors=1, p=2,
weights='uniform')`

As I am working through the book introduction to machine learning with Python by O'Reilly.

Answer 1

Just use the get_params method on the fitted object.

from sklearn.neighbors import KNeighborsClassifier

X = [[0], [1], [2], [3]]
y = [0, 0, 1, 1]

neigh = KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=1, p=2, weights='uniform')
neigh.fit(X, y)

neigh.get_params()

{'algorithm': 'auto',
 'leaf_size': 30,
 'metric': 'minkowski',
 'metric_params': None,
 'n_jobs': 1,
 'n_neighbors': 1,
 'p': 2,
 'weights': 'uniform'}