jostmey / maxsnippetmodel Goto Github PK
View Code? Open in Web Editor NEWStatistical classifier for immune repertoires
Home Page: https://doi.org/10.1186/s12859-017-1814-6
License: Other
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Cannot improve accuracy even if even training data is very simple
Thank you for publishing this wonderful software.
I would like to use this for my data.
Firstly, when we ran the program on the whole data, the accuracy did not improve from 50%,
so I tried to prepare a simple demonstration data.
I uploaded the demo data in zip format.
That is, the structure of the directory when running the program is as follows.
├── bias.txt
├── data
│ ├── answers.csv
│ ├── sample_1_negative.csv
│ ├── sample_1_positive.csv
│ ├── sample_2_negative.csv
│ └── sample_2_positive.csv
├── dataplumbing.py
├── dataplumbing.pyc
├── dataplumbing_synthetic_data.py
├── lib
│ ├── aminoacid_factors.py
│ ├── atchley_factors.csv
│ ├── atchley_factors.py
│ ├── atchley_factors.pyc
│ ├── dna_factors.py
│ └── __pycache__
│ └── atchley_factors.cpython-36.pyc
├── lib_paths.py
├── lib_paths.pyc
├── LICENSE
├── model.py
├── model.pyc
├── __pycache__
│ ├── dataplumbing.cpython-36.pyc
│ ├── lib_paths.cpython-36.pyc
│ └── model.cpython-36.pyc
├── README.md
├── score.py
├── train.py
└── weights.txt
And then, run the command below.
python ./train.py
i think this demonstration is very easy one, but the accuracy does not improve.
Please let me know if something goes wrong.
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