Comments (3)
Hello again
I think that I solved the problem but now I am getting the following error:
Sequence Data: seqnum=7183;seqlen=1258;seqhdr="k127_3767 flag=1 multi=3.0000 len=1258"
Model Data: version=Prodigal.v2.6.3;run_type=Metagenomic;model="48|Xylella_fastidiosa_Temecula1|B|51.8|11|1";gc_cont=51.80;transl_table=11;uses_sd=1
1_83_418_+
2_749_1246_-
/home/ofm/anaconda3/envs/env_macrel/lib/python3.7/site-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator DecisionTreeClassifier from version 0.22.1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:
https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations
UserWarning,
/home/ofm/anaconda3/envs/env_macrel/lib/python3.7/site-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator RandomForestClassifier from version 0.22.1 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:
https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations
UserWarning,
/home/ofm/anaconda3/envs/env_macrel/lib/python3.7/site-packages/sklearn/base.py:444: UserWarning: X has feature names, but RandomForestClassifier was fitted without feature names
f"X has feature names, but {self.class.name} was fitted without"
/home/ofm/anaconda3/envs/env_macrel/lib/python3.7/site-packages/sklearn/base.py:444: UserWarning: X has feature names, but RandomForestClassifier was fitted without feature names
f"X has feature names, but {self.class.name} was fitted without"
/home/ofm/anaconda3/envs/env_macrel/lib/python3.7/site-packages/sklearn/base.py:444: UserWarning: X has feature names, but RandomForestClassifier was fitted without feature names
f"X has feature names, but {self.class.name} was fitted without"
/home/ofm/anaconda3/envs/env_macrel/lib/python3.7/site-packages/sklearn/base.py:444: UserWarning: X has feature names, but RandomForestClassifier was fitted without feature names
f"X has feature names, but {self.class.name} was fitted without"
What can I do?
Thank you in advance
from macrel.
The previous error was some conda issue. These are hard to debug, glad you figured it out.
The warnings that you are getting now can be safely ignored (although we should still fix the code to get rid of them)
from macrel.
Ok. Thank you very much.
When I get the warnings the prediction output file is empty it only contains the column headers. Does this mean that no AMPs were found?
from macrel.
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from macrel.