Adds freeze folder to gitignore

.gitignore

@@ -46,3 +46,6 @@ po/*~
 rsconnect/
 
 /.quarto/
+
+_freeze/
+

docs/articles/databricks.html

@@ -237,27 +237,13 @@ <h2 class="anchored" data-anchor-id="examples">Examples</h2>
 <p>Using <code>llm_sentiment()</code> in Databricks will call that vendor’s SQL AI function directly:</p>
 <div class="cell">
 <div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>tbl_reviews <span class="sc">|&gt;</span></span>
-<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">llm_sentiment</span>(review)</span>
-<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # Source:   SQL [3 x 2]</span></span>
-<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # Database: Spark SQL 3.1.1[token@Spark SQL/hive_metastore]</span></span>
-<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   review                                                              .sentiment</span></span>
-<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;chr&gt;                                                               &lt;chr&gt;     </span></span>
-<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1 This has been the best TV Ive ever used. Great screen, and sound.   positive  </span></span>
-<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2 I regret buying this laptop. It is too slow and the keyboard is to… negative  </span></span>
-<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3 Not sure how to feel about my new washing machine. Great color, bu… mixed</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">llm_sentiment</span>(review)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>There are some differences in the arguments, and output of the LLM’s. Notice that instead of “neutral”, the prediction is “mixed”. The AI Sentiment function does not allow to change the possible options.</p>
 <p>Next, we will try <code>llm_summarize()</code>. The <code>max_words</code> argument maps to the same argument in the AI Summarize function:</p>
 <div class="cell">
 <div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>tbl_reviews <span class="sc">|&gt;</span></span>
-<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">llm_summarize</span>(review, <span class="at">max_words =</span> <span class="dv">5</span>)</span>
-<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # Source:   SQL [3 x 2]</span></span>
-<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # Database: Spark SQL 3.1.1[token@Spark SQL/hive_metastore]</span></span>
-<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   review                                                                .summary</span></span>
-<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;chr&gt;                                                                 &lt;chr&gt;   </span></span>
-<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1 This has been the best TV Ive ever used. Great screen, and sound.     Superio…</span></span>
-<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2 I regret buying this laptop. It is too slow and the keyboard is too … Slow, n…</span></span>
-<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3 Not sure how to feel about my new washing machine. Great color, but … Initial…</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">llm_summarize</span>(review, <span class="at">max_words =</span> <span class="dv">5</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 
 

docs/search.json

@@ -210,7 +210,7 @@
     "href": "articles/databricks.html#examples",
     "title": "Databricks",
     "section": "Examples",
-    "text": "Examples\nWe will start by connecting to the Databricks Warehouse\n\nlibrary(mall)\nlibrary(DBI)\n\ncon <- dbConnect(\n  odbc::databricks(),\n  HTTPPath = Sys.getenv(\"DATABRICKS_PATH\")\n)\n\nNext, we will create a small reviews table\n\nlibrary(dplyr)\n\nreviews <- tribble(\n  ~review,\n  \"This has been the best TV I've ever used. Great screen, and sound.\",\n  \"I regret buying this laptop. It is too slow and the keyboard is too noisy\",\n  \"Not sure how to feel about my new washing machine. Great color, but hard to figure\"\n)\n\ntbl_reviews <- copy_to(con, reviews)\n\nUsing llm_sentiment() in Databricks will call that vendor’s SQL AI function directly:\n\ntbl_reviews |>\n  llm_sentiment(review)\n#> # Source:   SQL [3 x 2]\n#> # Database: Spark SQL 3.1.1[token@Spark SQL/hive_metastore]\n#>   review                                                              .sentiment\n#>   <chr>                                                               <chr>     \n#> 1 This has been the best TV Ive ever used. Great screen, and sound.   positive  \n#> 2 I regret buying this laptop. It is too slow and the keyboard is to… negative  \n#> 3 Not sure how to feel about my new washing machine. Great color, bu… mixed\n\nThere are some differences in the arguments, and output of the LLM’s. Notice that instead of “neutral”, the prediction is “mixed”. The AI Sentiment function does not allow to change the possible options.\nNext, we will try llm_summarize(). The max_words argument maps to the same argument in the AI Summarize function:\n\ntbl_reviews |>\n  llm_summarize(review, max_words = 5)\n#> # Source:   SQL [3 x 2]\n#> # Database: Spark SQL 3.1.1[token@Spark SQL/hive_metastore]\n#>   review                                                                .summary\n#>   <chr>                                                                 <chr>   \n#> 1 This has been the best TV Ive ever used. Great screen, and sound.     Superio…\n#> 2 I regret buying this laptop. It is too slow and the keyboard is too … Slow, n…\n#> 3 Not sure how to feel about my new washing machine. Great color, but … Initial…",
+    "text": "Examples\nWe will start by connecting to the Databricks Warehouse\n\nlibrary(mall)\nlibrary(DBI)\n\ncon <- dbConnect(\n  odbc::databricks(),\n  HTTPPath = Sys.getenv(\"DATABRICKS_PATH\")\n)\n\nNext, we will create a small reviews table\n\nlibrary(dplyr)\n\nreviews <- tribble(\n  ~review,\n  \"This has been the best TV I've ever used. Great screen, and sound.\",\n  \"I regret buying this laptop. It is too slow and the keyboard is too noisy\",\n  \"Not sure how to feel about my new washing machine. Great color, but hard to figure\"\n)\n\ntbl_reviews <- copy_to(con, reviews)\n\nUsing llm_sentiment() in Databricks will call that vendor’s SQL AI function directly:\n\ntbl_reviews |>\n  llm_sentiment(review)\n\nThere are some differences in the arguments, and output of the LLM’s. Notice that instead of “neutral”, the prediction is “mixed”. The AI Sentiment function does not allow to change the possible options.\nNext, we will try llm_summarize(). The max_words argument maps to the same argument in the AI Summarize function:\n\ntbl_reviews |>\n  llm_summarize(review, max_words = 5)",
     "crumbs": [
       "Databricks"
     ]