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When training for NGram, some SMILES may failed.
Instead of raising error directly, recording the SMILES that caused the error and continue on is important!
The text was updated successfully, but these errors were encountered:
…/XenonPy into feature/improve-docs
* 'feature/improve-docs' of https://github.com/yoshida-lab/XenonPy:
check point
check point
release v0.3.0
fix test in docker
Update Dockerfile
Closes#75 and Closes#86
implement 1-dataset.rst. add some new sample codes
Update features.rst
Update features.rst
check point
Update features.rst
Update features.rst
check point
* check point
* Update features.rst
* Update features.rst
* check point
* Update features.rst
* Update features.rst
* implement 1-dataset.rst.
add some new sample codes
* check point
* Closes#75 and Closes#86
* Update Dockerfile
print out api_key
* fix test in docker
* release v0.3.0
* check point
* check point
* Update features.rst
* Update features.rst
* implement 1-dataset.rst.
add some new sample codes
* check point
* check point
* fix test
* check point
* add r sample codes
improve mdl tests
* fix
When training for NGram, some SMILES may failed.
Instead of raising error directly, recording the SMILES that caused the error and continue on is important!
The text was updated successfully, but these errors were encountered: