From a70b42fbea7c16409215383bd10f6f15af818f08 Mon Sep 17 00:00:00 2001 From: mschwrdtnr Date: Mon, 17 May 2021 12:00:25 +0200 Subject: [PATCH] fix old example links --- docs/source/LinearRegression.md | 2 +- docs/source/LogisticRegression.md | 2 +- docs/source/NearestNeighbor.md | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/LinearRegression.md b/docs/source/LinearRegression.md index 81a6dbc4..8033625c 100644 --- a/docs/source/LinearRegression.md +++ b/docs/source/LinearRegression.md @@ -82,4 +82,4 @@ When we visualize the graph in TensorBoard: ![linear-regression](_static/linear-regression-tensor-board.png) -The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/LinearRegression.cs). +The full example is [here](https://github.com/SciSharp/TensorFlow.NET-Examples/blob/master/src/TensorFlowNET.Examples/BasicModels/LinearRegression.cs). diff --git a/docs/source/LogisticRegression.md b/docs/source/LogisticRegression.md index 42cda898..ddf75f84 100644 --- a/docs/source/LogisticRegression.md +++ b/docs/source/LogisticRegression.md @@ -13,4 +13,4 @@ The dependent variable of logistics regression can be two-category or multi-cate Softmax regression allows us to handle ![1557035393445](_static\logistic-regression\1557035393445.png) where K is the number of classes. -The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/LogisticRegression.cs). +The full example is [here](https://github.com/SciSharp/TensorFlow.NET-Examples/blob/master/src/TensorFlowNET.Examples/BasicModels/LogisticRegression.cs). diff --git a/docs/source/NearestNeighbor.md b/docs/source/NearestNeighbor.md index 861181aa..94e300df 100644 --- a/docs/source/NearestNeighbor.md +++ b/docs/source/NearestNeighbor.md @@ -2,4 +2,4 @@ The nearest neighbour algorithm was one of the first algorithms used to solve the travelling salesman problem. In it, the salesman starts at a random city and repeatedly visits the nearest city until all have been visited. It quickly yields a short tour, but usually not the optimal one. -The full example is [here](https://github.com/SciSharp/TensorFlow.NET/blob/master/test/TensorFlowNET.Examples/BasicModels/NearestNeighbor.cs). \ No newline at end of file +The full example is [here](https://github.com/SciSharp/TensorFlow.NET-Examples/blob/master/src/TensorFlowNET.Examples/BasicModels/NearestNeighbor.cs). \ No newline at end of file