gabriel19913 · November 26, 2019 17:41
diff --git a/pca1.py b/pca1.py
 from sklearn.decomposition import PCA

 pca = PCA(15, random_state = seed)
 pca.fit(scaled_X)
 variance = pca.explained_variance_ratio_
 var=np.cumsum(np.round(pca.explained_variance_ratio_, decimals=7)*100)
	from sklearn.decomposition import PCA

	pca = PCA(15, random_state = seed)
	pca.fit(scaled_X)
	variance = pca.explained_variance_ratio_
	var=np.cumsum(np.round(pca.explained_variance_ratio_, decimals=7)*100)