From d7a5c7a7cdea0cc74b15bcfec74f0c5a9f8df680 Mon Sep 17 00:00:00 2001 From: troyyyyy Date: Fri, 1 Dec 2023 09:06:42 +0800 Subject: [PATCH] [DOC] fix typo --- docs/Overview/Quick Start.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/Overview/Quick Start.rst b/docs/Overview/Quick Start.rst index c6dc2cc..aceaa3d 100644 --- a/docs/Overview/Quick Start.rst +++ b/docs/Overview/Quick Start.rst @@ -22,7 +22,7 @@ where ``X`` is the input of the machine learning model, train_data = get_mnist_add(train=True, get_pseudo_label=True) test_data = get_mnist_add(train=False, get_pseudo_label=True) -In the above ``get_mnist_add``, the return values are tuples of ``(X, gt_pseudo_label, Y)``. +In the ``get_mnist_add`` above, the return values are tuples of ``(X, gt_pseudo_label, Y)``. Machine Learning (Map input to pseudo labels) --------------------------------------------- @@ -71,7 +71,7 @@ obtained by machine learning. kb = AddKB(pseudo_label_list=list(range(10))) -Then we define a reasoner, which defines +Then, we define a reasoner, which defines how to minimize the inconsistency between the knowledge base and machine learning. .. code:: python @@ -81,7 +81,7 @@ how to minimize the inconsistency between the knowledge base and machine learnin Bridge Machine Learning and Reasoning ------------------------------------- -First, we use `SimpleBridge` to combine machine learning and reasoning together, +First, we use ``SimpleBridge`` to combine machine learning and reasoning together, setting the stage for subsequent integrated training, validation, and testing. .. code:: python