[Bug] Chpt2: Issue while fetching the output of preprocessing.get_feature_names_out() about handson-ml3 HOT 2 CLOSED

Hi @allosharma ,

Thanks for your feedback. Could you please copy/paste the definition of the ClusterSimilarity class from your notebook here? It should contain a get_feature_names_out() method. The error message says that it doesn't, but it's supposed to. If you read page 82 in the book, or look at cell [100] in the notebook, you should see it.
Perhaps there's a typo in your notebook?
Hope this helps.

from handson-ml3.

Hi @allosharma ,

Thanks for your feedback. Could you please copy/paste the definition of the ClusterSimilarity class from your notebook here? It should contain a get_feature_names_out() method. The error message says that it doesn't, but it's supposed to. If you read page 82 in the book, or look at cell [100] in the notebook, you should see it. Perhaps there's a typo in your notebook? Hope this helps.

Hi @ageron ,
Thank you so much for the response, yes I got the typo. while defining the method I had a typo.

class ClusterSimilarity(BaseEstimator, TransformerMixin):
    def __init__(self, n_clusters=10, gamma=1.0, random_state=None):
        self.n_clusters = n_clusters
        self.gamma = gamma
        self.random_state = random_state
    
    def fit(self, X, y=None, sample_weight=None):
        self.kmeans_ = KMeans(self.n_clusters, random_state=self.random_state)
        self.kmeans_.fit(X, sample_weight=sample_weight)
        return self #always return self
    
    def transform(self, X):
        return rbf_kernel(X, self.kmeans_.cluster_centers_, gamma=self.gamma)
    
    def get_features_names_out(self, names=None):
        return [f"Cluster {i} similarity" for i in range(self.n_clusters)]

It should have been a feature instead of features.

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