[mlpack] 182/207: Change remaining references of Predict to Classify

[Barak A. Pearlmutter]

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in repository mlpack.

commit 1e54ed1bddfce5247dba59c3aa73df0270989a2a
Author: Kirill Mishchenko <ki.mishchenko at gmail.com>
Date:   Thu Mar 16 06:59:46 2017 +0500

    Change remaining references of Predict to Classify
---
 src/mlpack/methods/softmax_regression/softmax_regression.hpp      | 8 ++++----
 src/mlpack/methods/softmax_regression/softmax_regression_main.cpp | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/src/mlpack/methods/softmax_regression/softmax_regression.hpp b/src/mlpack/methods/softmax_regression/softmax_regression.hpp
index a62de8f..8249c0a 100644
--- a/src/mlpack/methods/softmax_regression/softmax_regression.hpp
+++ b/src/mlpack/methods/softmax_regression/softmax_regression.hpp
@@ -55,8 +55,8 @@ namespace regression {
  * arma::vec predictions1, predictions2; // Vectors to store predictions in.
  *
  * // Obtain predictions from both the learned models.
- * regressor1.Predict(test_data, predictions1);
- * regressor2.Predict(test_data, predictions2);
+ * regressor1.Classify(test_data, predictions1);
+ * regressor2.Classify(test_data, predictions2);
  * @endcode
  */
 template<
@@ -67,8 +67,8 @@ class SoftmaxRegression
  public:
   /**
    * Initialize the SoftmaxRegression without performing training.  Default
-   * value of lambda is 0.0001.  Be sure to use Train() before calling Predict()
-   * or ComputeAccuracy(), otherwise the results may be meaningless.
+   * value of lambda is 0.0001.  Be sure to use Train() before calling
+   * Classify() or ComputeAccuracy(), otherwise the results may be meaningless.
    *
    * @param inputSize Size of the input feature vector.
    * @param numClasses Number of classes for classification.
diff --git a/src/mlpack/methods/softmax_regression/softmax_regression_main.cpp b/src/mlpack/methods/softmax_regression/softmax_regression_main.cpp
index 41270d6..452bf3f 100644
--- a/src/mlpack/methods/softmax_regression/softmax_regression_main.cpp
+++ b/src/mlpack/methods/softmax_regression/softmax_regression_main.cpp
@@ -198,7 +198,7 @@ void TestPredictAcc(const string& testFile,
   data::Load(testFile, testData, true);
 
   arma::Row<size_t> predictLabels;
-  model.Predict(testData, predictLabels);
+  model.Classify(testData, predictLabels);
 
   // Save predictions, if desired.
   if (!predictionsFile.empty())

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