8000 ENH Speed up sgdclassifier example plot_sgd_early_stopping.py by johgreen · Pull Request #21627 · scikit-learn/scikit-learn · GitHub
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ENH Speed up sgdclassifier example plot_sgd_early_stopping.py #21627

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ENH Speed up sgdclassifier example plot_sgd_early_stopping.py #21627

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87bd64a
speed up sgdclassifier plotting example
johgreen Nov 10, 2021
7cf91c8
Update plot_sgd_early_stopping.py
TomDLT Nov 16, 2021
5c1e83a
apply black
adrinjalali Nov 23, 2021
f0ca517
Merge remote-tracking branch 'upstream/main' into temp-contribution
adrinjalali Nov 30, 2021
7bbbe60
Merge branch 'main' into temp-contribution
adrinjalali Mar 18, 2022
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12 changes: 5 additions & 7 deletions examples/linear_model/plot_sgd_early_stopping.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,7 @@
import numpy as np
import matplotlib.pyplot as plt

from sklearn import linear_model
from sklearn.linear_model import SGDClassifier
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
from sklearn.utils._testing import ignore_warnings
Expand Down Expand Up @@ -89,17 +89,15 @@ def fit_and_score(estimator, max_iter, X_train, X_test, y_train, y_test):

# Define the estimators to compare
estimator_dict = {
"No stopping criterion": linear_model.SGDClassifier(n_iter_no_change=3),
"Training loss": linear_model.SGDClassifier(
early_stopping=False, n_iter_no_change=3, tol=0.1
),
"Validation score": linear_model.SGDClassifier(
"No stopping criterion": SGDClassifier(n_iter_no_change=3),
"Training loss": SGDClassifier(early_stopping=False, n_iter_no_change=3, tol=0.1),
"Validation score": SGDClassifier(
early_stopping=True, n_iter_no_change=3, tol=0.0001, validation_fraction=0.2
),
}

# Load the dataset
X, y = load_mnist(n_samples=10000)
X, y = load_mnist(n_samples=5000)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=0)

results = []
Expand Down
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