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1 | 1 | # hyperopt-sklearn |
2 | 2 |
|
3 | | -[Hyperopt-sklearn](http://hyperopt.github.com/hyperopt-sklearn/) is |
4 | | -[Hyperopt](http://hyperopt.github.com/hyperopt)-based model selection among machine learning algorithms in |
5 | | -[scikit-learn](http://scikit-learn.org/). |
| 3 | +[Hyperopt-sklearn](https://github.com/hyperopt/hyperopt-sklearn) is |
| 4 | +[Hyperopt](https://github.com/hyperopt/hyperopt)-based model selection among machine learning algorithms in |
| 5 | +[scikit-learn](https://scikit-learn.org/). |
6 | 6 |
|
7 | 7 | See how to use hyperopt-sklearn through [examples](http://hyperopt.github.io/hyperopt-sklearn/#documentation) |
8 | 8 | More examples can be found in the Example Usage section of the SciPy paper |
9 | 9 |
|
10 | | -Komer B., Bergstra J., and Eliasmith C. "Hyperopt-Sklearn: automatic hyperparameter configuration for Scikit-learn" Proc. SciPy 2014. http://conference.scipy.org/proceedings/scipy2014/pdfs/komer.pdf |
| 10 | +Komer B., Bergstra J., and Eliasmith C. "Hyperopt-Sklearn: automatic hyperparameter configuration for Scikit-learn" Proc. SciPy 2014. https://proceedings.scipy.org/articles/Majora-14bd3278-006 |
11 | 11 |
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12 | 12 | ## Installation |
13 | 13 |
|
14 | | -Installation from the GitHub repository is supported using pip: |
| 14 | +Installation from the GitHub repository is supported using [pip](https://pypi.org/project/hyperopt-sklearn): |
15 | 15 |
|
16 | | - pip install git+https://github.com/hyperopt/hyperopt-sklearn |
| 16 | + pip install hyperopt-sklearn |
17 | 17 |
|
18 | | -Optionally you can install a specific tag, branch or commit: |
| 18 | +Optionally you can install a specific tag, branch or commit from the repository: |
19 | 19 |
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20 | 20 | pip install git+https://github.com/hyperopt/[email protected] |
21 | 21 | pip install git+https://github.com/hyperopt/hyperopt-sklearn@master |
@@ -328,7 +328,9 @@ polynomial_features |
328 | 328 | spline_transformer |
329 | 329 | k_bins_discretizer |
330 | 330 |
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331 | | -tfidf |
| 331 | +tfidf_vectorizer |
| 332 | +hashing_vectorizer |
| 333 | +count_vectorizer |
332 | 334 |
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333 | 335 | pca |
334 | 336 |
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