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Misc. modules/ typos (cont.)
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@@ -1269,7 +1269,7 @@ public:
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results for each of the sample cases. If the model is a classifier, it will return
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a Mat with samples + 1 rows, where the first row gives the class number and the
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following rows return the votes each class had for each sample.
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@param samples Array containg the samples for which votes will be calculated.
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@param samples Array containing the samples for which votes will be calculated.
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@param results Array where the result of the calculation will be written.
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@param flags Flags for defining the type of RTrees.
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*/
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@@ -1658,9 +1658,9 @@ public:
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*/
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CV_WRAP virtual float predict( InputArray samples, OutputArray results=noArray(), int flags=0 ) const = 0;
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/** @brief This function returns the trained paramters arranged across rows.
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/** @brief This function returns the trained parameters arranged across rows.
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For a two class classifcation problem, it returns a row matrix. It returns learnt paramters of
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For a two class classifcation problem, it returns a row matrix. It returns learnt parameters of
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the Logistic Regression as a matrix of type CV_32F.
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*/
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CV_WRAP virtual Mat get_learnt_thetas() const = 0;
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@@ -1854,7 +1854,7 @@ public:
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/****************************************************************************************\
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* Auxilary functions declarations *
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* Auxiliary functions declarations *
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\****************************************************************************************/
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/** @brief Generates _sample_ from multivariate normal distribution
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@@ -1921,7 +1921,7 @@ struct SimulatedAnnealingSolverSystem
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{
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/** Give energy value for a state of system.*/
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double energy() const;
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/** Function which change the state of system (random pertubation).*/
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/** Function which change the state of system (random perturbation).*/
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void changeState();
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/** Function to reverse to the previous state. Can be called once only after changeState(). */
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void reverseState();
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