The GаussiаnMixture clаss frоm scikit-learn has already been impоrted. Assume that X_train has already been created and cоntains the training dataset. Write Python code that: Creates a Gaussian Mixture Model (GMM) with 3 components, storing it in a variable named model. Fits the model using the training data. Predicts the cluster assignment for each observation in X_train and stores the results in a variable named clusters. Hint: A complete solution can be written in approximately 3 lines of code, but you may use more or less lines.