ValueError: Precomputed metric requires shape (n_queries, n_indexed). Dear lmcinnes sir kindly help me.
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Description
# Applying Kernel PCA
from sklearn.decomposition import KernelPCA
kpca=KernelPCA(n_components=2,kernel='precomputed')
X_train=kpca.fit_transform(X_train)
X_test=kpca.transform(X_test)
Getting Error while executing with KDD CUP Data set .kindly give solution for this Error.
Dear lmcinnes sir kindly help me as early as possible.
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Research direction
Start with the reported KernelPCA setup and the KDD CUP dataset, then trace the fit_transform and transform calls that produce the precomputed-metric shape error. Compare the shapes of X_train and X_test against the error message and confirm the expected input shape before deciding whether the issue belongs in UMAP or in scikit-learn usage.
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Assessment
- Tech stack
- python, scikit-learn
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100