From aaa44719509f3870c048dcaa5c84213d0a313a22 Mon Sep 17 00:00:00 2001 From: prinz <281208364@qq.com> Date: Tue, 19 Sep 2023 11:49:05 +0800 Subject: [PATCH] update the link of pics --- .../Functions-and-Operators/1.1-Vector/cosine_similarity.md | 2 +- .../Functions-and-Operators/1.1-Vector/inner_product.md | 2 +- .../Reference/Functions-and-Operators/1.1-Vector/l1_norm.md | 2 +- .../Reference/Functions-and-Operators/1.1-Vector/l2_norm.md | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/cosine_similarity.md b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/cosine_similarity.md index b22183a4f2..08aabc4cba 100644 --- a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/cosine_similarity.md +++ b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/cosine_similarity.md @@ -4,7 +4,7 @@ `cosine_similarity()` 是余弦相似度，它衡量了两个向量之间夹角的余弦值，通过它们在多维空间中的接近程度来表示它们的相似性，其中 1 表示完全相似，-1 表示完全不相似。余弦相似度的计算是通过将两个向量的内积除以它们的 l2 范数的乘积来实现的。 -![cosine_similarity](https://github.com/matrixorigin/artwork/blob/main/docs/reference/vector/cosine_similarity.png?raw=true) +![cosine_similarity](https://community-shared-data-1308875761.cos.ap-beijing.myqcloud.com/artwork/docs/reference/vector/cosine_similarity.png?raw=true) ## **函数语法** diff --git a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/inner_product.md b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/inner_product.md index 6e292db79f..33b19c7a9c 100644 --- a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/inner_product.md +++ b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/inner_product.md @@ -4,7 +4,7 @@ `INNER PRODUCT` 函数用于计算两个向量之间的内积/点积，它是两个向量的对应元素相乘然后相加的结果。 -![inner_product](https://github.com/matrixorigin/artwork/blob/main/docs/reference/vector/inner_product.png?raw=true) +![inner_product](https://community-shared-data-1308875761.cos.ap-beijing.myqcloud.com/artwork/docs/reference/vector/inner_product.png?raw=true) ## **函数语法** diff --git a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l1_norm.md b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l1_norm.md index f859c364f9..0d06247e06 100644 --- a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l1_norm.md +++ b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l1_norm.md @@ -4,7 +4,7 @@ `l1_norm` 函数用于计算 `l1`/曼哈顿/TaxiCab 范数。`l1` 范数通过对向量元素的绝对值求和得到。 -![l1_normy](https://github.com/matrixorigin/artwork/blob/main/docs/reference/vector/l1_norm.png?raw=true) +![l1_normy](https://community-shared-data-1308875761.cos.ap-beijing.myqcloud.com/artwork/docs/reference/vector/l1_norm.png?raw=true) 你可以使用 `l1` 范数来计算 `l1` 距离。 diff --git a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l2_norm.md b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l2_norm.md index f46aa1c0e3..14956808ce 100644 --- a/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l2_norm.md +++ b/docs/MatrixOne/Reference/Functions-and-Operators/1.1-Vector/l2_norm.md @@ -4,7 +4,7 @@ `l2_norm` 函数用于计算 `l2`/欧几里得范数。`l2` 范数通过对向量元素的平方和进行平方根运算得到。 -![l2_normy](https://github.com/matrixorigin/artwork/blob/main/docs/reference/vector/l2_norm.png?raw=true) +![l2_normy](https://community-shared-data-1308875761.cos.ap-beijing.myqcloud.com/artwork/docs/reference/vector/l2_norm.png?raw=true) ## **函数语法**