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| 1 | +#### Description |
| 2 | +<!-- Describe your issue here.--> |
| 3 | + |
| 4 | +#### Steps/Code to Reproduce |
| 5 | +<!-- Please provide a **minimal** highlighted code example for |
| 6 | +reproduction. (See https://help.github.com/articles/creating-and-highlighting-code-blocks/ |
| 7 | +for code blocks highlighting, and https://stackoverflow.com/help/mcve |
| 8 | +for what is a minimal reproducible code.) |
| 9 | +
|
| 10 | +Example: |
| 11 | +```python |
| 12 | +from metric_learn import NCA |
| 13 | +from sklearn.datasets import make_classification |
| 14 | +from sklearn.utils import check_random_state |
| 15 | +
|
| 16 | +X, y = make_classification(random_state=0) |
| 17 | +nca = NCA() |
| 18 | +nca.fit(X, y) |
| 19 | +``` |
| 20 | +If the code is too long, feel free to put it in a public gist and link |
| 21 | +it in the issue: https://gist.github.com |
| 22 | +--> |
| 23 | + |
| 24 | +#### Expected Results |
| 25 | +<!-- Example: No error is thrown. Please paste or describe the expected results.--> |
| 26 | + |
| 27 | +#### Actual Results |
| 28 | +<!-- Please paste or specifically describe the actual output or traceback. You can use ```ptb for python traceback formatting--> |
| 29 | + |
| 30 | +#### Versions |
| 31 | +<!-- Please run the following snippet and paste the output below. |
| 32 | +
|
| 33 | +import platform; print(platform.platform()) |
| 34 | +import sys; print("Python", sys.version) |
| 35 | +import numpy; print("NumPy", numpy.__version__) |
| 36 | +import scipy; print("SciPy", scipy.__version__) |
| 37 | +import sklearn; print("Scikit-Learn", sklearn.__version__) |
| 38 | +import metric_learn; print("Metric-Learn", metric_learn.__version__) |
| 39 | +
|
| 40 | +(If the last statement returns "AttributeError: 'module' object has no attribute '__version__'", you can instead run this in a terminal: |
| 41 | +$ pip show metric_learn | grep Version |
| 42 | +) |
| 43 | +--> |
| 44 | +<!-- Thanks for contributing! --> |
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