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X has 630 features, but RandomForestClassifier is expecting 105 features as input #3

@ofleitas

Description

@ofleitas

Hello

I am trying to run amPEPpy but I get an error message.

ofm@osmel-dell:~/Work/src/amPEPpy$ ampep predict -m amPEP.model -i training_data/XXXX.fasta -o XXXX.tsv --seed 2012
/home/ofm/.local/lib/python3.10/site-packages/sklearn/base.py:464: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names
warnings.warn(
Traceback (most recent call last):
File "/home/ofm/.local/bin/ampep", line 8, in
sys.exit(main())
File "/home/ofm/.local/lib/python3.10/site-packages/amPEPpy/amPEP.py", line 53, in main
args.func(args)
File "/home/ofm/.local/lib/python3.10/site-packages/amPEPpy/amPEP.py", line 168, in predict
if clf.predict(classify_df.loc[id_info[i], :].to_numpy().reshape(1, -1))[0] == 1:
File "/home/ofm/.local/lib/python3.10/site-packages/sklearn/ensemble/_forest.py", line 823, in predict
proba = self.predict_proba(X)
File "/home/ofm/.local/lib/python3.10/site-packages/sklearn/ensemble/_forest.py", line 865, in predict_proba
X = self._validate_X_predict(X)
File "/home/ofm/.local/lib/python3.10/site-packages/sklearn/ensemble/_forest.py", line 599, in _validate_X_predict
X = self._validate_data(X, dtype=DTYPE, accept_sparse="csr", reset=False)
File "/home/ofm/.local/lib/python3.10/site-packages/sklearn/base.py", line 625, in _validate_data
self._check_n_features(X, reset=reset)
File "/home/ofm/.local/lib/python3.10/site-packages/sklearn/base.py", line 414, in _check_n_features
raise ValueError(
ValueError: X has 630 features, but RandomForestClassifier is expecting 105 features as input.

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