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piotrlaczkowski committed Oct 6, 2024
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12 changes: 6 additions & 6 deletions 1.8.0/404.html
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<li class="md-nav__item">
<a href="/transformer_blocks/" class="md-nav__link">
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<span class="md-ellipsis">
🤖 TransformerBlocks
🏭 Layers Factory
</span>


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<li class="md-nav__item">
<a href="/layers_factory/" class="md-nav__link">
<a href="/integrations/" class="md-nav__link">


<span class="md-ellipsis">
🏭 Layers Factory
📦 Integrating Preprocessing Model
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<li class="md-nav__item">
<a href="/integrations/" class="md-nav__link">
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<span class="md-ellipsis">
📦 Integrating Preprocessing Model
🤖 TransformerBlocks
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12 changes: 6 additions & 6 deletions 1.8.0/contributing/index.html
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<li class="md-nav__item">
<a href="../transformer_blocks/" class="md-nav__link">
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<span class="md-ellipsis">
🤖 TransformerBlocks
🏭 Layers Factory
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<li class="md-nav__item">
<a href="../layers_factory/" class="md-nav__link">
<a href="../integrations/" class="md-nav__link">


<span class="md-ellipsis">
🏭 Layers Factory
📦 Integrating Preprocessing Model
</span>


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<li class="md-nav__item">
<a href="../integrations/" class="md-nav__link">
<a href="../transformer_blocks/" class="md-nav__link">


<span class="md-ellipsis">
📦 Integrating Preprocessing Model
🤖 TransformerBlocks
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14 changes: 7 additions & 7 deletions 1.8.0/features/index.html
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<link rel="prev" href="..">


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<li class="md-nav__item">
<a href="../transformer_blocks/" class="md-nav__link">
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<span class="md-ellipsis">
🤖 TransformerBlocks
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<li class="md-nav__item">
<a href="../layers_factory/" class="md-nav__link">
<a href="../integrations/" class="md-nav__link">


<span class="md-ellipsis">
🏭 Layers Factory
📦 Integrating Preprocessing Model
</span>


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<li class="md-nav__item">
<a href="../integrations/" class="md-nav__link">
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<span class="md-ellipsis">
📦 Integrating Preprocessing Model
🤖 TransformerBlocks
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46 changes: 23 additions & 23 deletions 1.8.0/index.html
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<li class="md-nav__item">
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Advanced Configuration Options
💪🏻 Advanced Configuration Options
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Transformer Blocks Configuration
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Custom Preprocessors
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Feature Crosses
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<li class="md-nav__item">
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<span class="md-ellipsis">
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<li class="md-nav__item">
<a href="integrations/" class="md-nav__link">
<a href="transformer_blocks/" class="md-nav__link">


<span class="md-ellipsis">
📦 Integrating Preprocessing Model
🤖 TransformerBlocks
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<li class="md-nav__item">
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Advanced Configuration Options
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Transformer Blocks Configuration
🤖 Transformer Blocks Configuration
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<li class="md-nav__item">
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Custom Preprocessors
🏗️ Custom Preprocessors
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<li class="md-nav__item">
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Feature Crosses
Feature Crosses
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<h2 id="key-features">🔑 Key Features:</h2>
<ul>
<li>
<p>🛠 <strong>Automated Feature Engineering</strong>: Automatically detects and applies the most suitable preprocessing steps for each feature type in your dataset, ensuring optimal data preparation with minimal manual intervention.</p>
<p>🛠 <strong>Flexible Feature Engineering</strong>: Applies predefined preprocessing steps based on user-specified feature types, allowing for efficient and customizable data preparation with minimal manual coding.</p>
</li>
<li>
<p>🎨 <strong>Customizable Preprocessing Pipelines</strong>: Tailor your preprocessing steps with ease. Choose from a comprehensive range of options for numeric, categorical, text data, and even complex feature crosses, allowing for precise and effective data handling.</p>
Expand All @@ -688,7 +688,7 @@ <h2 id="getting-started">🚀 Getting started:</h2>
</code></pre></div>
<p>Then you can simply configure your preprocessor:</p>
<h2 id="building-preprocessor">🛠️ Building Preprocessor:</h2>
<p>The simplest application of ths preprocessing model is as follows:</p>
<p>The simplest application of the preprocessing model is as follows:</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span> <span class="nn">kdp</span> <span class="kn">import</span> <span class="n">PreprocessingModel</span>
<span class="kn">from</span> <span class="nn">kdp</span> <span class="kn">import</span> <span class="n">FeatureType</span>

Expand All @@ -712,7 +712,7 @@ <h2 id="building-preprocessor">🛠️ Building Preprocessor:</h2>
<span class="c1"># construct the preprocessing pipelines</span>
<span class="n">ppr</span><span class="o">.</span><span class="n">build_preprocessor</span><span class="p">()</span>
</code></pre></div>
<p>This wil output:</p>
<p>This will output:</p>
<div class="highlight"><pre><span></span><code><span class="p">{</span>
<span class="s1">&#39;model&#39;</span><span class="o">:</span><span class="w"> </span><span class="o">&lt;</span><span class="nx">Functional</span><span class="w"> </span><span class="nx">name</span><span class="o">=</span><span class="nx">preprocessor</span><span class="p">,</span><span class="w"> </span><span class="nx">built</span><span class="o">=</span><span class="nx">True</span><span class="o">&gt;</span><span class="p">,</span>
<span class="s1">&#39;inputs&#39;</span><span class="o">:</span><span class="w"> </span><span class="p">{</span>
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<p class="admonition-title">Info</p>
<p>You can use the preprocessing model independently to preprocess your data or integrate it into your Keras model as the first layer, see 👀 <a href="integrations/">Integrations</a></p>
</div>
<h2 id="advanced-configuration-options">Advanced Configuration Options</h2>
<h3 id="transformer-blocks-configuration">Transformer Blocks Configuration</h3>
<h2 id="advanced-configuration-options">💪🏻 Advanced Configuration Options</h2>
<h3 id="transformer-blocks-configuration">🤖 Transformer Blocks Configuration</h3>
<p>Enhance your preprocessing model with transformer blocks to capture complex patterns and interactions between features, see 👀 <a href="transformer_blocks/">Transformer Blocks</a>. You can configure the transformer blocks as follows:</p>
<ul>
<li><strong>Number of Blocks</strong>: Define how many transformer blocks to include in the preprocessing pipeline.</li>
Expand All @@ -772,7 +772,7 @@ <h3 id="transformer-blocks-configuration">Transformer Blocks Configuration</h3>
<span class="o">**</span><span class="n">transfo_config</span>
<span class="p">)</span>
</code></pre></div>
<h3 id="custom-preprocessors">Custom Preprocessors</h3>
<h3 id="custom-preprocessors">🏗️ Custom Preprocessors</h3>
<p>Tailor your preprocessing steps with custom preprocessors for each feature type. Define specific preprocessing logic that fits your data characteristics or domain-specific requirements, see 👀 <a href="features/#🚀-custom-preprocessing-steps">Custom Preprocessors</a>.</p>
<ul>
<li><strong>Custom Steps</strong>: Add custom preprocessing layers or functions to the predefined feature types.</li>
Expand All @@ -793,7 +793,7 @@ <h3 id="custom-preprocessors">Custom Preprocessors</h3>
<span class="n">features_specs</span><span class="o">=</span><span class="n">features_spec</span>
<span class="p">)</span>
</code></pre></div>
<h3 id="feature-crosses">Feature Crosses</h3>
<h3 id="feature-crosses">Feature Crosses</h3>
<p>Create complex feature interactions by crossing features. This method combines features into a single feature, which can be particularly useful for models that benefit from understanding interactions between specific features, see 👀 <a href="features/#❌-cross-features">Feature Crosses</a>.</p>
<ul>
<li><strong>Crossing Features</strong>: Specify pairs of features to be crossed and the number of bins for hashing the crossed feature.</li>
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42 changes: 21 additions & 21 deletions 1.8.0/integrations/index.html
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