analytics

Author: Programmer-RD-AI

.virtual_documents/testing.ipynb

@@ -0,0 +1,26 @@
+from sklearn.decomposition import SparsePCA
+import numpy as np
+
+# Generate example data
+X = np.array([[1, 2, 3],
+              [4, 5, 6],
+              [7, 8, 9]])
+
+# Perform Sparse PCA
+spca = SparsePCA(n_components=2, alpha=1)
+X_spca = spca.fit_transform(X)
+
+# Components
+print("Components:", spca.components_)
+
+# Transformed data
+print("Transformed data:", X_spca) 
+
+
+X_spca.shape, X.shape
+
+
+X_spca, X
+
+
+