| Index: components/dom_distiller/core/page_features.h
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| diff --git a/components/dom_distiller/core/page_features.h b/components/dom_distiller/core/page_features.h
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| index 236796b542aecb860e3cb03311872183e50aec4f..a54d1cdfebf598a2d2858746e7e7848fe27b53b1 100644
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| --- a/components/dom_distiller/core/page_features.h
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| +++ b/components/dom_distiller/core/page_features.h
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| @@ -10,19 +10,20 @@
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|  #include "base/values.h"
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|  #include "url/gurl.h"
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|  
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| +class GURL;
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| +
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|  namespace dom_distiller {
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|  
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|  // The length of the derived features vector.
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|  extern int kDerivedFeaturesCount;
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|  
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|  // The distillable page detector is a model trained on a list of numeric
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| -// features derived from core more complex features of a webpage (like the
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| -// body's .textContent). This derives the numeric features for a set of core
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| -// features.
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| +// features derived from features of a webpage (like body's number of elements
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| +// ). This derives the numeric features form a set of core features.
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|  //
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|  // Note: It is crucial that these features are derived in the same way and are
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|  // in the same order as in the training pipeline. See //heuristics/distillable
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| -// in the external DomDistillerJs repo.
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| +// in the external DomDistiller repo.
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|  std::vector<double> CalculateDerivedFeatures(bool isOGArticle,
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|                                               const GURL& url,
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|                                               double numElements,
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| @@ -37,6 +38,16 @@ std::vector<double> CalculateDerivedFeatures(bool isOGArticle,
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|  std::vector<double> CalculateDerivedFeaturesFromJSON(
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|      const base::Value* stringified_json);
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|  
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| +std::vector<double> CalculateDerivedFeatures(
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| +    bool openGraph,
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| +    const GURL& url,
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| +    unsigned elementCount,
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| +    unsigned anchorCount,
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| +    unsigned formCount,
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| +    double mozScore,
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| +    double mozScoreAllSqrt,
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| +    double mozScoreAllLinear);
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| +
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|  }  // namespace dom_distiller
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|  
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|  #endif  // COMPONENTS_DOM_DISTILLER_CORE_PAGE_FEATURES_H_
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| 
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