classifier.py 文件源码

def analyze_k_means(estimator, name, data):
    t0 = time()
    estimator.fit(data) 
    print(" %9s %.2fs %i %.3f %.3f %.3f %.3f %.3f %.3f"%( name, time()-t0, estimator.inertia_, metrics.homogeneity_score(labels,  estimator.labels_), metrics.completeness_score(labels, estimator.labels_), metrics.v_measure_score(labels, estimator.labels_), metrics.adjusted_rand_score(labels, estimator.labels_), metrics.adjusted_mutual_info_score(labels, estimator.labels_), metrics.silhouette_score(data, estimator.labels_, metric='euclidean', sample_size = samples) ))