From a64530b38d1069f26a780fbb7ccf64353de3ec3b Mon Sep 17 00:00:00 2001 From: "J. L. Garrido-Labrador" Date: Tue, 12 Nov 2024 11:33:48 +0100 Subject: [PATCH] Workflow documentation --- docs/examples.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/examples.md b/docs/examples.md index 1f24f6d..5e9e585 100644 --- a/docs/examples.md +++ b/docs/examples.md @@ -148,7 +148,7 @@ The wrappers that support multi-learning can be used with the subview adapters. The RSC algorithms support datasets with pairwise constraints. The library provides the `WhoIsWhoClassifier`, the `feature_fusion` and `probability_fusion` methods. `WhoIsWhoClassifier` is a wrapper that uses the RSC algorithms and supports only cannot-link constraints. The `feature_fusion` and `probability_fusion` methods supports both constraints but only in prediction time. All algorithms are in the `sslearn.restriced` module. -The complete example is avaliable in the [Jupyter Notebook](https://colab.research.google.com/drive/1wKSz-f7N4elqQwz_phrWXDrf3lRqaD6s#scrollTo=mF32Wps3pIR5). Here is a snippet of the code with the dataset and the constraints already loaded. +The complete example is avaliable in the [Jupyter Notebook](https://colab.research.google.com/drive/1wKSz-f7N4elqQwz_phrWXDrf3lRqaD6s#sandboxMode=true&scrollTo=sN3XUw4K_it-). Here is a snippet of the code with the dataset and the constraints already loaded. ```python wiw = WhoIsWhoClassifier(base_estimator=DecisionTreeClassifier(random_state=10),