Merge branch 'main' into artifact_collection

.github/workflows/build_docs.yml

@@ -16,7 +16,7 @@ jobs:
     - name: Set up Node.js
       uses: actions/setup-node@v3
       with:
-        node-version: 18.0.0
+        node-version: 22.9.0
 
     - name: Install yarn
       run: npm install --global yarn
@@ -25,4 +25,4 @@ jobs:
       run: yarn install
 
     - name: Build the docs
-      run: yarn docusaurus build
+      run: yarn build:prod

.github/workflows/dependabot.yml

@@ -0,0 +1,7 @@
+version: 2
+updates:
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      # Check for updates to GitHub Actions every weekday
+      interval: "daily"

.github/workflows/linkcheck.yml

@@ -0,0 +1,33 @@
+name: Lychee check
+on:
+  pull_request:
+    paths:
+      - '**.md'
+
+jobs:
+  lychee:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Get changed files
+        id: changed-files
+        uses: tj-actions/changed-files@v45
+        with:
+          files: "**.md"
+
+      - name: Link Checker
+        id: lychee
+        uses: lycheeverse/[email protected]
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          args: --scheme https --scheme http --verbose ${{ steps.changed-files.outputs.all_changed_files }}
+        env:
+          GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}
+
+      - name: Create PR comment with link reults
+        uses: marocchino/sticky-pull-request-comment@v2
+        with:
+          header: lychee
+          recreate: true
+          path: ./lychee/out.md

.github/workflows/reviewdog.yml

@@ -1,10 +1,19 @@
-name: reviewdog
-on: [pull_request]
+name: Vale check
+on:
+  pull_request:
+    paths:
+      - '**.md'
 
 jobs:
   vale:
-    name: runner / vale
+    name: Vale check
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v3
-      - uses: errata-ai/vale-action@reviewdog
+      - uses: actions/checkout@v4
+      - uses: errata-ai/vale-action@reviewdog
+        env:
+          REVIEWDOG_GITHUB_API_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+            fail_on_error: false
+            files: docs
+            reporter: github-pr-review

.gitignore

@@ -29,4 +29,6 @@ yarn-error.log*
 #wandb
 wandb/
 translate_dev/
-chatgpt*
+chatgpt*yar
+package-lock.json
+.vale.ini.swp

.vale.ini

@@ -21,4 +21,7 @@ Packages = Google, Readability
 [*.md]
 BasedOnStyles = Vale, Google
 
-Google.Contractions = No
+Google.Contractions = No
+Google.Semicolons = No
+Google.Parens = No
+Google.Acronyms = No

data.json

@@ -393,6 +393,30 @@
       "from": "/guides/hosting/intro",
       "to": "/guides/hosting"
     },
+    {
+      "from": "/guides/self-hosted",
+      "to": "/guides/hosting/hosting-options/self-managed/"
+    },
+    {
+      "from": "/guides/self-hosted/local",
+      "to": "/guides/hosting/hosting-options/self-managed/"
+    },
+    {
+      "from": "/guides/self-hosted/local-common-questions",
+      "to": "/guides/hosting"
+    },
+    {
+      "from": "/guides/self-hosted/setup/private-cloud",
+      "to": "/guides/hosting/hosting-options/dedicated_cloud",
+    },
+    {
+      "from": "/self-hosted/setup/on-premise-baremetal",
+      "to": "/guides/hosting/hosting-options/self-managed",
+    },
+    {
+      "from": "/guides/self-hosted/setup/configuration",
+      "to": "/guides/hosting",
+    },    
     {
       "from": "/guides/hosting/secure-storage-connector",
       "to": "/guides/hosting/data-security/secure-storage-connector"

docs/guides/app/features/anon.md

@@ -1,10 +1,9 @@
 ---
 description: Log and visualize data without a W&B account
 displayed_sidebar: default
+title: Anonymous mode
 ---
 
-# Anonymous mode
-
 Are you publishing code that you want anyone to be able to run easily? Use anonymous mode to let someone run your code, see a W&B dashboard, and visualize results without needing to create a W&B account first.
 
 Allow results to be logged in anonymous mode with: 
@@ -54,7 +53,7 @@ If you set `anonymous="allow"` in your script, W&B checks to make sure there's n
 *   **No persistent data**: Runs are only saved for 7 days in an anonymous account. You can claim anonymous run data by saving it to a real account.
 
 
-![](@site/static/images/app_ui/anon_mode_no_data.png)
+![](/images/app_ui/anon_mode_no_data.png)
 
 *   **No artifact logging**: Runs print a warning on the command line that you can't log an artifact to an anonymous run:
     ```bash

docs/guides/app/features/custom-charts/intro.md

@@ -1,19 +1,17 @@
 ---
 slug: /guides/app/features/custom-charts
 displayed_sidebar: default
+title: Custom charts
 ---
-
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-# Custom Charts
-
 Use **Custom Charts** to create charts that aren't possible right now in the default UI. Log arbitrary tables of data and visualize them exactly how you want. Control details of fonts, colors, and tooltips with the power of [Vega](https://vega.github.io/vega/).
 
-* **What's possible**: Read the[ launch announcement →](https://wandb.ai/wandb/posts/reports/Announcing-the-W-B-Machine-Learning-Visualization-IDE--VmlldzoyNjk3Nzg)
-* **Code**: Try a live example in a[ hosted notebook →](https://tiny.cc/custom-charts)
-* **Video**: Watch a quick [walkthrough video →](https://www.youtube.com/watch?v=3-N9OV6bkSM)
-* **Example**: Quick Keras and Sklearn [demo notebook →](https://colab.research.google.com/drive/1g-gNGokPWM2Qbc8p1Gofud0\_5AoZdoSD?usp=sharing)
+* **What's possible**: Read the[ launch announcement](https://wandb.ai/wandb/posts/reports/Announcing-the-W-B-Machine-Learning-Visualization-IDE--VmlldzoyNjk3Nzg)
+* **Code**: Try a live example in a[ hosted notebook](https://tiny.cc/custom-charts)
+* **Video**: Watch a quick [walkthrough video](https://www.youtube.com/watch?v=3-N9OV6bkSM)
+* **Example**: Quick Keras and Sklearn [demo notebook](https://colab.research.google.com/drive/1g-gNGokPWM2Qbc8p1Gofud0_5AoZdoSD?usp=sharing)
 
 ![Supported charts from vega.github.io/vega](/images/app_ui/supported_charts.png)
 
@@ -63,9 +61,9 @@ You can use this to log curves on any two dimensions. Note that if you're plotti
 
 ![](/images/app_ui/line_plot.png)
 
-[See in the app →](https://wandb.ai/wandb/plots/reports/Custom-Line-Plots--VmlldzoyNjk5NTA)
+[See in the app](https://wandb.ai/wandb/plots/reports/Custom-Line-Plots--VmlldzoyNjk5NTA)
 
-[Run the code →](https://tiny.cc/custom-charts)
+[Run the code](https://tiny.cc/custom-charts)
 
   </TabItem>
   <TabItem value="scatter-plot">
@@ -84,9 +82,9 @@ You can use this to log scatter points on any two dimensions. Note that if you'r
 
 ![](/images/app_ui/demo_scatter_plot.png)
 
-[See in the app →](https://wandb.ai/wandb/plots/reports/Custom-Scatter-Plots--VmlldzoyNjk5NDQ)
+[See in the app](https://wandb.ai/wandb/plots/reports/Custom-Scatter-Plots--VmlldzoyNjk5NDQ)
 
-[Run the code →](https://tiny.cc/custom-charts)
+[Run the code](https://tiny.cc/custom-charts)
 
   </TabItem>
   <TabItem value="bar-chart">
@@ -109,11 +107,11 @@ wandb.log(
 
 You can use this to log arbitrary bar charts. Note that the number of labels and values in the lists must match exactly (i.e. each data point must have both).
 
-![](@site/static/images/app_ui/line_plot_bar_chart.png)
+![](/images/app_ui/line_plot_bar_chart.png)
 
-[See in the app →](https://wandb.ai/wandb/plots/reports/Custom-Bar-Charts--VmlldzoyNzExNzk)
+[See in the app](https://wandb.ai/wandb/plots/reports/Custom-Bar-Charts--VmlldzoyNzExNzk)
 
-[Run the code →](https://tiny.cc/custom-charts)
+[Run the code](https://tiny.cc/custom-charts)
 
   </TabItem>
   <TabItem value="histogram">
@@ -132,16 +130,16 @@ You can use this to log arbitrary histograms. Note that `data` is a list of list
 
 ![](/images/app_ui/demo_custom_chart_histogram.png)
 
-[See in the app →](https://wandb.ai/wandb/plots/reports/Custom-Histograms--VmlldzoyNzE0NzM)
+[See in the app](https://wandb.ai/wandb/plots/reports/Custom-Histograms--VmlldzoyNzE0NzM)
 
-[Run the code →](https://tiny.cc/custom-charts)
+[Run the code](https://tiny.cc/custom-charts)
 
   </TabItem>
     <TabItem value="pr-curve">
 
 `wandb.plot.pr_curve()`
 
-Create a [Precision-Recall curve](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision\_recall\_curve.html#sklearn.metrics.precision\_recall\_curve) in one line:
+Create a [Precision-Recall curve](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html#sklearn.metrics.precision_recall_curve) in one line:
 
 ```python
 plot = wandb.plot.pr_curve(ground_truth, predictions, labels=None, classes_to_plot=None)
@@ -159,16 +157,16 @@ You can log this whenever your code has access to:
 ![](/images/app_ui/demo_average_precision_lines.png)
 
 
-[See in the app →](https://wandb.ai/wandb/plots/reports/Plot-Precision-Recall-Curves--VmlldzoyNjk1ODY)
+[See in the app](https://wandb.ai/wandb/plots/reports/Plot-Precision-Recall-Curves--VmlldzoyNjk1ODY)
 
-[Run the code →](https://colab.research.google.com/drive/1mS8ogA3LcZWOXchfJoMrboW3opY1A8BY?usp=sharing)
+[Run the code](https://colab.research.google.com/drive/1mS8ogA3LcZWOXchfJoMrboW3opY1A8BY?usp=sharing)
 
   </TabItem>
   <TabItem value="roc-curve">
 
 `wandb.plot.roc_curve()`
 
-Create an [ROC curve](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc\_curve.html#sklearn.metrics.roc\_curve) in one line:
+Create an [ROC curve](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html#sklearn.metrics.roc_curve) in one line:
 
 ```python
 plot = wandb.plot.roc_curve(
@@ -187,9 +185,9 @@ You can log this whenever your code has access to:
 
 ![](/images/app_ui/demo_custom_chart_roc_curve.png)
 
-[See in the app →](https://wandb.ai/wandb/plots/reports/Plot-ROC-Curves--VmlldzoyNjk3MDE)
+[See in the app](https://wandb.ai/wandb/plots/reports/Plot-ROC-Curves--VmlldzoyNjk3MDE)
 
-[Run the code →](https://colab.research.google.com/drive/1\_RMppCqsA8XInV\_jhJz32NCZG6Z5t1RO?usp=sharing)
+[Run the code](https://colab.research.google.com/drive/1_RMppCqsA8XInV_jhJz32NCZG6Z5t1RO?usp=sharing)
 
   </TabItem>
 </Tabs>
@@ -214,7 +212,7 @@ my_custom_chart = wandb.plot_table(
 )
 ```
 
-[Run the code →](https://tiny.cc/custom-charts)
+[Run the code](https://tiny.cc/custom-charts)
 
 ![](/images/app_ui/custom_presets.png)
 
@@ -230,9 +228,9 @@ Here are the data types you can log from your script and use in a custom chart:
 
 ### How to log a custom table
 
-Use `wandb.Table()` to log your data as a 2D array. Typically each row of this table represents one data point, and each column denotes the relevant fields/dimensions for each data point which you'd like to plot. As you configure a custom panel, the whole table will be accessible via the named key passed to `wandb.log()`("custom\_data\_table" below), and the individual fields will be accessible via the column names ("x", "y", and "z"). You can log tables at multiple time steps throughout your experiment. The maximum size of each table is 10,000 rows.
+Use `wandb.Table()` to log your data as a 2D array. Typically each row of this table represents one data point, and each column denotes the relevant fields/dimensions for each data point which you'd like to plot. As you configure a custom panel, the whole table will be accessible via the named key passed to `wandb.log()`("custom_data_table" below), and the individual fields will be accessible via the column names ("x", "y", and "z"). You can log tables at multiple time steps throughout your experiment. The maximum size of each table is 10,000 rows.
 
-[Try it in a Google Colab →](https://tiny.cc/custom-charts)
+[Try it in a Google Colab](https://tiny.cc/custom-charts)
 
 ```python
 # Logging a custom table of data