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ValueError: X has 9371 features, but StandardScaler is expecting 74698 features as input.

See original GitHub issue


When I evaluate a trained discourse parsing model (e.g. using rst_eval rst_discourse_tb_edus_TRAINING_DEV.json -p rst_parsing_model.C1.0 --use_gold_syntax), I encountered the error in the title.

Since the code uses sparse features, my guess is that the set of features in the training and test sets are different.

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Comments:7 (4 by maintainers)

github_iconTop GitHub Comments

mufeilicommented, May 27, 2021

Thank you for developing and maintaining such a great tool!

desilinguistcommented, May 27, 2021

Interesting! Yes, it could certainly be that it’s a SKLL 2.5 issue since we haven’t really tested rstfinder with that yet.

Glad you have a workaround for now. I will try to replicate the issue on my end and see what changes are required.

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