Merge pull request #2257 from nd-02110114/fix-docs-build

datasets/qm8.csv

.vscode/

.python-version

# Build documentation in the docs/ directory with Sphinx

sphinx:

  configuration: docs/conf.py

# Build documentation with MkDocs

# mkdocs:

#   configuration: mkdocs.yml

  configuration: docs/source/conf.py

# Optionally build your docs in additional formats such as PDF and ePub

formats: all

  - if [[ "$CHECK_ONLY_DOCS" == "true" ]]; then

      cd docs && pip install -r requirements.txt;

      make clean html;

      make doctest_tutorials;

      make doctest_examples;

      travis_terminate $?;

    fi

## Requirements

DeepChem currently supports Python 3.5 through 3.7 and requires these packages on any condition.

DeepChem currently supports Python 3.6 through 3.7 and requires these packages on any condition.

- [joblib](https://pypi.python.org/pypi/joblib)

- [NumPy](https://numpy.org/)

  perhaps you want to use the hyperparameter tuning capabilities in

  `dc.hyper`. The `SklearnModel` class provides a wrapper around scikit-learn

  models that allows scikit-learn models to be trained on `Dataset` objects

  and evaluated with the same metrics as other DeepChem models.`

  and evaluated with the same metrics as other DeepChem models.

  Notes

  -----