Docs: fix example; export MinPrecisionThreshold

docs/customization/index.html

@@ -197,7 +197,7 @@ while raising a component's threshold makes it more conservative. </p>
 to achieve a minimum desired true positive rate (also known as precision). The example below shows how to initialize
 a <code>PrimalSolutionComponent</code> which achieves 95% precision, possibly at the cost of a lower recall. To make the component
 more aggressive, this precision may be lowered.</p>
-<pre><code class="python">comp = PrimalSolutionComponent(threshold=MinPrecisionThreshold(0.98))
+<pre><code class="python">PrimalSolutionComponent(threshold=MinPrecisionThreshold(0.95))
 </code></pre></div>
         
         

docs/index.html

@@ -273,5 +273,5 @@
 
 <!--
 MkDocs version : 1.1
-Build Date UTC : 2020-05-05 18:08:32
+Build Date UTC : 2020-05-05 18:12:23
 -->

src/docs/customization.md

@@ -59,5 +59,5 @@ a `PrimalSolutionComponent` which achieves 95% precision, possibly at the cost o
 more aggressive, this precision may be lowered.
 
 ```python
-comp = PrimalSolutionComponent(threshold=MinPrecisionThreshold(0.98))
+PrimalSolutionComponent(threshold=MinPrecisionThreshold(0.95))
 ```

src/python/miplearn/__init__.py

@@ -14,6 +14,7 @@ from .components.primal import PrimalSolutionComponent
 from .components.branching import BranchPriorityComponent, BranchPriorityExtractor
 
 from .classifiers.adaptive import AdaptiveClassifier
+from .classifiers.threshold import MinPrecisionThreshold
 
 from .benchmark import BenchmarkRunner