朴素随机过采样

util/sample.py

@@ -0,0 +1,16 @@
+from sklearn.datasets import make_classification
+from collections import Counter
+from imblearn.over_sampling import RandomOverSampler
+
+X, y = make_classification(n_samples=5000, n_features=2, n_informative=2,
+                           n_redundant=0, n_repeated=0, n_classes=3,
+                           n_clusters_per_class=1,
+                           weights=[0.01, 0.05, 0.94],
+                           class_sep=0.8, random_state=0)
+# Counter(y)
+print(X)
+print(y)
+ros = RandomOverSampler(random_state=0)
+X_resampled, y_resampled = ros.fit_sample(X, y)
+print(X_resampled)
+# sorted(Counter(y_resampled).items())