From a33de2cd8b71cee95928b190fe81a313b7d80dfc Mon Sep 17 00:00:00 2001 From: abthuy Date: Thu, 7 Mar 2024 16:18:20 +0100 Subject: [PATCH] fix typo --- docs/guide/classification_rejection.ipynb | 2 +- docs/guide/diversity_quality_score.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/guide/classification_rejection.ipynb b/docs/guide/classification_rejection.ipynb index 0ed7750..e15d7a5 100644 --- a/docs/guide/classification_rejection.ipynb +++ b/docs/guide/classification_rejection.ipynb @@ -43,7 +43,7 @@ "source": [ "## Generate synthetic NN output\n", "\n", - "In this example, we generate synthetic outputs of a NN with multiple samples of the predictive distribution. The output predictions are of shape `(n_observations, n_samples, n_classes)` and the true labels `(n_observations,)`. The data generation function uses 10 output classses" + "In this example, we generate synthetic outputs of a NN with multiple samples of the predictive distribution. The output predictions are of shape `(n_observations, n_samples, n_classes)` and the true labels `(n_observations,)`. The data generation function uses 10 output classes." ] }, { diff --git a/docs/guide/diversity_quality_score.ipynb b/docs/guide/diversity_quality_score.ipynb index 71f89fd..1135a04 100644 --- a/docs/guide/diversity_quality_score.ipynb +++ b/docs/guide/diversity_quality_score.ipynb @@ -51,7 +51,7 @@ "source": [ "## Generate synthetic NN output\n", "\n", - "In this example, we generate synthetic outputs of a NN with multiple samples of the predictive distribution. The output predictions are of shape `(n_observations, n_samples, n_classes)` and the true labels `(n_observations,)`. The data generation function uses 10 output classses" + "In this example, we generate synthetic outputs of a NN with multiple samples of the predictive distribution. The output predictions are of shape `(n_observations, n_samples, n_classes)` and the true labels `(n_observations,)`. The data generation function uses 10 output classes." ] }, {