From 499212f0d92a008fd0deb040b283ff976edc2401 Mon Sep 17 00:00:00 2001 From: Pracheer Gupta Date: Fri, 26 May 2017 15:09:39 -0700 Subject: [PATCH 1/2] Fixing a link in the linear regression tutorial. The link was initally going to mxnet-test.readthedocs.io. Changed it to mxnet.io/api. --- docs/tutorials/python/linear-regression.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/python/linear-regression.md b/docs/tutorials/python/linear-regression.md index cd1bfa54be23..6b330c68d9c1 100644 --- a/docs/tutorials/python/linear-regression.md +++ b/docs/tutorials/python/linear-regression.md @@ -171,7 +171,7 @@ eval_iter = mx.io.NDArrayIter(eval_data, eval_label, batch_size, shuffle=False) model.score(eval_iter, metric) ``` -We also can create a custom metric and use it to evaluate the model. More -information on metrics can be found [here](http://mxnet-test.readthedocs.io/en/latest/api/metric.html). +We can also create a custom metric and use it to evaluate the model. More +information on the metrics can be found in the [Metric API documentaion](http://mxnet.io/api/python/model.html#evaluation-metric-api-reference). From f7cd758ffa3d969dbece2d11474b7f93ed2f628b Mon Sep 17 00:00:00 2001 From: Pracheer Gupta Date: Fri, 26 May 2017 15:16:43 -0700 Subject: [PATCH 2/2] More appropriate language. --- docs/tutorials/python/linear-regression.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/python/linear-regression.md b/docs/tutorials/python/linear-regression.md index 6b330c68d9c1..373d2e2ecde7 100644 --- a/docs/tutorials/python/linear-regression.md +++ b/docs/tutorials/python/linear-regression.md @@ -171,7 +171,7 @@ eval_iter = mx.io.NDArrayIter(eval_data, eval_label, batch_size, shuffle=False) model.score(eval_iter, metric) ``` -We can also create a custom metric and use it to evaluate the model. More -information on the metrics can be found in the [Metric API documentaion](http://mxnet.io/api/python/model.html#evaluation-metric-api-reference). +We can also create a custom metric and use it to evaluate a model. More +information on metrics can be found in the [API documentation](http://mxnet.io/api/python/model.html#evaluation-metric-api-reference).