From d796ddffa6bf9db22d0fd4f48c6cb25b57c3f032 Mon Sep 17 00:00:00 2001 From: Montana Low Date: Mon, 17 Jun 2024 18:08:25 -0700 Subject: [PATCH] fix 404s --- pgml-cms/docs/guides/supervised-learning.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/pgml-cms/docs/guides/supervised-learning.md b/pgml-cms/docs/guides/supervised-learning.md index 6d7b4dc2d..786cfc330 100644 --- a/pgml-cms/docs/guides/supervised-learning.md +++ b/pgml-cms/docs/guides/supervised-learning.md @@ -46,7 +46,7 @@ target | ### Training a Model -Now that we've got data, we're ready to train a model using an algorithm. We'll start with the default `linear` algorithm to demonstrate the basics. See the [Algorithms](../../../docs/training/algorithm\_selection/) for a complete list of available algorithms. +Now that we've got data, we're ready to train a model using an algorithm. We'll start with a classification task to demonstrate the basics. See [pgml.train](/docs/api/sql-extension/pgml.train/) for a complete list of available algorithms and tasks. ```postgresql SELECT * FROM pgml.train( @@ -79,7 +79,7 @@ INFO: Metrics: { (1 row) ``` -The output gives us information about the training run, including the `deployed` status. This is great news indicating training has successfully reached a new high score for the project's key metric and our new model was automatically deployed as the one that will be used to make new predictions for the project. See [Deployments](../../../docs/predictions/deployments/) for a guide to managing the active model. +The output gives us information about the training run, including the `deployed` status. This is great news indicating training has successfully reached a new high score for the project's key metric and our new model was automatically deployed as the one that will be used to make new predictions for the project. ### Inspecting the results @@ -152,7 +152,7 @@ LIMIT 25; ### Example -If you've already been through the [Training Overview](../../../docs/training/overview/), you can see the results of those efforts: +If you've executed the commands in this guide, you can see the results of those efforts: ```postgresql SELECT @@ -195,7 +195,7 @@ SELECT * FROM pgml.deployed_models; PostgresML will automatically deploy a model only if it has better metrics than existing ones, so it's safe to experiment with different algorithms and hyperparameters. -Take a look at [Deploying Models](../../../docs/predictions/deployments/) documentation for more details. +Take a look at [pgml.deploy](/docs/api/sql-extension/pgml.deploy) documentation for more details. ### Specific Models pFad - Phonifier reborn

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