def PlotPCA(self):
pca = RandomizedPCA(n_components=21764)
print shape(self.fmri_train)
pca.fit(self.fmri_train)
plt.plot(pca.explained_variance_ratio_)
plt.xlabel("No:of Components")
plt.ylabel("Expected Variance Ratio")
plt.title("PCA-Expected Variance Ratio vs No:of Components")
plt.show()
print pca.get_params()
