[SC 8504] Define missing parameters in the capital markets notebook

README.md

@@ -59,7 +59,8 @@ pip install validmind
 - **Install with R support (requires R to be installed)**
 
     ```bash
-    pip install validmind[r-support]
+    pip install validmind
+    pip install rpy2
     ```
 
 ## How to contribute
@@ -102,7 +103,8 @@ brew install r
 Once you have R installed, install the `r-support` extra to install the necessary dependencies for R by running:
 
 ```bash
-poetry install --extras r-support
+poetry install
+pip install rpy2
 ```
 
 ### Versioning

README.pypi.md

@@ -68,5 +68,6 @@ The ValidMind Library has optional dependencies that can be installed separately
 - **R Models**: To use R models with the ValidMind Library, install the `r` extra:
 
     ```bash
-    pip install validmind[r-support]
+    pip install validmind
+    pip install rpy2
     ```

docs/_build/validmind/tests/data_validation/nlp/TextDescription.html

@@ -78,7 +78,7 @@ <h1 class="modulename">
         <div class="decorator">@tasks(&#39;text_classification&#39;, &#39;text_summarization&#39;)</div>
 
         <span class="def">def</span>
-        <span class="name">TextDescription</span><span class="signature pdoc-code multiline">(<span class="param">	<span class="n">dataset</span><span class="p">:</span> <span class="n"><a href="../../../vm_models.html#VMDataset">validmind.vm_models.VMDataset</a></span>,</span><span class="param">	<span class="n">unwanted_tokens</span><span class="p">:</span> <span class="nb">set</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;mr&#39;</span><span class="p">,</span> <span class="s1">&#39;dollar&#39;</span><span class="p">,</span> <span class="s1">&#39;dr&#39;</span><span class="p">,</span> <span class="s1">&#39;us&#39;</span><span class="p">,</span> <span class="s1">&#39;ms&#39;</span><span class="p">,</span> <span class="s1">&#39;``&#39;</span><span class="p">,</span> <span class="s2">&quot;s&#39;&quot;</span><span class="p">,</span> <span class="s2">&quot;&#39;s&quot;</span><span class="p">,</span> <span class="s2">&quot;&#39;&#39;&quot;</span><span class="p">,</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="s1">&#39; &#39;</span><span class="p">,</span> <span class="s1">&#39;mrs&#39;</span><span class="p">}</span>,</span><span class="param">	<span class="n">lang</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;english&#39;</span></span><span class="return-annotation">):</span></span>
+        <span class="name">TextDescription</span><span class="signature pdoc-code multiline">(<span class="param">	<span class="n">dataset</span><span class="p">:</span> <span class="n"><a href="../../../vm_models.html#VMDataset">validmind.vm_models.VMDataset</a></span>,</span><span class="param">	<span class="n">unwanted_tokens</span><span class="p">:</span> <span class="nb">set</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;s&#39;&quot;</span><span class="p">,</span> <span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="s1">&#39;mrs&#39;</span><span class="p">,</span> <span class="s2">&quot;&#39;&#39;&quot;</span><span class="p">,</span> <span class="s1">&#39;mr&#39;</span><span class="p">,</span> <span class="s2">&quot;&#39;s&quot;</span><span class="p">,</span> <span class="s1">&#39;us&#39;</span><span class="p">,</span> <span class="s1">&#39;``&#39;</span><span class="p">,</span> <span class="s1">&#39;dr&#39;</span><span class="p">,</span> <span class="s1">&#39;dollar&#39;</span><span class="p">,</span> <span class="s1">&#39;ms&#39;</span><span class="p">,</span> <span class="s1">&#39; &#39;</span><span class="p">}</span>,</span><span class="param">	<span class="n">lang</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">&#39;english&#39;</span></span><span class="return-annotation">):</span></span>
 
 
     </div>

notebooks/code_samples/capital_markets/quickstart_option_pricing_models.ipynb

@@ -443,6 +443,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "N = 10000\n",
+    "M = 100\n",
     "# Parameters for synthetic data\n",
     "S0 = 100\n",
     "K = 100\n",