From f6dfd54e4013f80dfad3c06dd5fe45bbe324acea Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Quentin=20Gallou=C3=A9dec?=
<45557362+qgallouedec@users.noreply.github.com>
Date: Wed, 5 Oct 2022 10:53:36 +0200
Subject: [PATCH] note about memory
---
README.md | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/README.md b/README.md
index 0f32b2b..036277c 100644
--- a/README.md
+++ b/README.md
@@ -35,10 +35,10 @@ Your code must be properly documented. It must follow the [PEP257 recommendation
- Visibility Level: public
- Project Configuration: Initialize repository with a README
3. Clone the repository.
-```bash
-git clone https://gitlab.ec-lyon.fr/<user>/image-classification
-```
-4. In this tutorial you will use files that should not be pushed to the remote repository. To ignore them when committing, you can put their path in a file named `.gitignore`. For simplicity, we use the [`.gitignore` file](https://github.com/github/gitignore/blob/main/Python.gitignore) recommended by GitHub for python projects.
+ ```bash
+ git clone https://gitlab.ec-lyon.fr/<user>/image-classification
+ ```
+4. In this tutorial you will use files that should not be pushed to the remote repository. To ignore them when committing, you can put their path in a file named `.gitignore`. For simplicity, we use the [`.gitignore` file](https://github.com/github/gitignore/blob/main/Python.gitignore) recommended by GitHub for Python projects.
## Prepare the CIFAR dataset
@@ -73,8 +73,8 @@ This database can be obtained at the address https://www.cs.toronto.edu/~kriz/ci
- `labels_train` the training labels, and
- `k` the number of of neighbors.
This function must return the predicted labels for the elements of `data_train`.
+
**Note:** if the memory occupation is too important, you can use several batches for the calculation of the distance matrix (loop on sub-batches of test data).
- {: .note}
3. Write the function `evaluate_knn` taking as parameters:
- `data_train` the training data,
- `labels_train` the corresponding labels,
--
GitLab