deploy: 650c6ca

.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 5a2830f6a2a3d06be22a89769648200f
+config: b35c686774b63dbcddb02d58240912d9
 tags: 645f666f9bcd5a90fca523b33c5a78b7

_modules/index.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_modules/realtabformer/data_utils.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_modules/realtabformer/realtabformer.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -409,7 +409,7 @@ <h1>Source code for realtabformer.realtabformer</h1><div class="highlight"><pre>
         <span class="n">freeze_parent_model</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
         <span class="n">checkpoints_dir</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;rtf_checkpoints&quot;</span><span class="p">,</span>
         <span class="n">samples_save_dir</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;rtf_samples&quot;</span><span class="p">,</span>
-        <span class="n">epochs</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">100</span><span class="p">,</span>
+        <span class="n">epochs</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1000</span><span class="p">,</span>
         <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8</span><span class="p">,</span>
         <span class="n">random_state</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1029</span><span class="p">,</span>
         <span class="n">train_size</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
@@ -438,7 +438,7 @@ <h1>Source code for realtabformer.realtabformer</h1><div class="highlight"><pre>
 <span class="sd">                frozen or not.</span>
 <span class="sd">            checkpoints_dir:  Directory where the training checkpoints will be saved</span>
 <span class="sd">            samples_save_dir: Save the samples generated by this model in this directory.</span>
-<span class="sd">            epochs: Number of epochs for training the GPT2LM model</span>
+<span class="sd">            epochs: Number of epochs for training the GPT2LM model. Use a large number of epochs to take advantage of the framework&#39;s optimal termination feature for the non-relational tabular data model. Defaults to 1000.</span>
 <span class="sd">            batch_size: Batch size used for training. Must be adjusted based on the available</span>
 <span class="sd">                compute resource. TrainingArguments is set to use `gradient_accumulation_steps=4`</span>
 <span class="sd">                which will have an effective batch_size of 32 for the default value.</span>

_modules/realtabformer/rtf_analyze.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_modules/realtabformer/rtf_datacollator.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_modules/realtabformer/rtf_exceptions.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_modules/realtabformer/rtf_sampler.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_modules/realtabformer/rtf_trainer.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_modules/realtabformer/rtf_validators.html

@@ -142,7 +142,7 @@
     <script>document.write(`<img src="../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

_sources/autoapi/realtabformer/index.rst

@@ -34,7 +34,7 @@ Classes
 
 
 
-.. py:class:: REaLTabFormer(model_type: str, tabular_config: Optional[transformers.models.gpt2.GPT2Config] = None, relational_config: Optional[transformers.EncoderDecoderConfig] = None, parent_realtabformer_path: Optional[pathlib.Path] = None, freeze_parent_model: Optional[bool] = True, checkpoints_dir: str = 'rtf_checkpoints', samples_save_dir: str = 'rtf_samples', epochs: int = 100, batch_size: int = 8, random_state: int = 1029, train_size: float = 1, output_max_length: int = 512, early_stopping_patience: int = 5, early_stopping_threshold: float = 0, mask_rate: float = 0, numeric_nparts: int = 1, numeric_precision: int = 4, numeric_max_len: int = 10, **training_args_kwargs)
+.. py:class:: REaLTabFormer(model_type: str, tabular_config: Optional[transformers.models.gpt2.GPT2Config] = None, relational_config: Optional[transformers.EncoderDecoderConfig] = None, parent_realtabformer_path: Optional[pathlib.Path] = None, freeze_parent_model: Optional[bool] = True, checkpoints_dir: str = 'rtf_checkpoints', samples_save_dir: str = 'rtf_samples', epochs: int = 1000, batch_size: int = 8, random_state: int = 1029, train_size: float = 1, output_max_length: int = 512, early_stopping_patience: int = 5, early_stopping_threshold: float = 0, mask_rate: float = 0, numeric_nparts: int = 1, numeric_precision: int = 4, numeric_max_len: int = 10, **training_args_kwargs)
 
 
    .. py:method:: _invalid_model_type(model_type)

_sources/autoapi/realtabformer/realtabformer/index.rst

@@ -38,7 +38,7 @@ Functions
 .. py:function:: _validate_get_device(device: str) -> str
 
 
-.. py:class:: REaLTabFormer(model_type: str, tabular_config: Optional[transformers.models.gpt2.GPT2Config] = None, relational_config: Optional[transformers.EncoderDecoderConfig] = None, parent_realtabformer_path: Optional[pathlib.Path] = None, freeze_parent_model: Optional[bool] = True, checkpoints_dir: str = 'rtf_checkpoints', samples_save_dir: str = 'rtf_samples', epochs: int = 100, batch_size: int = 8, random_state: int = 1029, train_size: float = 1, output_max_length: int = 512, early_stopping_patience: int = 5, early_stopping_threshold: float = 0, mask_rate: float = 0, numeric_nparts: int = 1, numeric_precision: int = 4, numeric_max_len: int = 10, **training_args_kwargs)
+.. py:class:: REaLTabFormer(model_type: str, tabular_config: Optional[transformers.models.gpt2.GPT2Config] = None, relational_config: Optional[transformers.EncoderDecoderConfig] = None, parent_realtabformer_path: Optional[pathlib.Path] = None, freeze_parent_model: Optional[bool] = True, checkpoints_dir: str = 'rtf_checkpoints', samples_save_dir: str = 'rtf_samples', epochs: int = 1000, batch_size: int = 8, random_state: int = 1029, train_size: float = 1, output_max_length: int = 512, early_stopping_patience: int = 5, early_stopping_threshold: float = 0, mask_rate: float = 0, numeric_nparts: int = 1, numeric_precision: int = 4, numeric_max_len: int = 10, **training_args_kwargs)
 
 
    .. py:method:: _invalid_model_type(model_type)

autoapi/index.html

@@ -143,7 +143,7 @@
     <script>document.write(`<img src="../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">

autoapi/realtabformer/__main__/index.html

@@ -143,7 +143,7 @@
     <script>document.write(`<img src="../../../_static/REalTabFormer_Final_EQ.png" class="logo__image only-dark" alt=""/>`);</script>
 
 
-    <p class="title logo__title">REaLTabFormer 0.2.0</p>
+    <p class="title logo__title">REaLTabFormer 0.2.1</p>
 
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">