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initial commit; ml has been refactored; it compiles and the tests run well; some other modules, apps and samples do not compile; to be fixed
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@@ -65,7 +65,7 @@ int CV_AMLTest::run_test_case( int testCaseIdx )
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for (int k = 0; k < icount; k++)
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{
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#endif
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data.mix_train_and_test_idx();
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data->shuffleTrainTest();
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code = train( testCaseIdx );
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#ifdef GET_STAT
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float case_result = get_error();
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@@ -101,9 +101,10 @@ int CV_AMLTest::validate_test_results( int testCaseIdx )
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{
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resultNode["mean"] >> mean;
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resultNode["sigma"] >> sigma;
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float curErr = get_error( testCaseIdx, CV_TEST_ERROR );
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model->save(format("/Users/vp/tmp/dtree/testcase_%02d.cur.yml", testCaseIdx));
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float curErr = get_test_error( testCaseIdx );
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const int coeff = 4;
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ts->printf( cvtest::TS::LOG, "Test case = %d; test error = %f; mean error = %f (diff=%f), %d*sigma = %f",
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ts->printf( cvtest::TS::LOG, "Test case = %d; test error = %f; mean error = %f (diff=%f), %d*sigma = %f\n",
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testCaseIdx, curErr, mean, abs( curErr - mean), coeff, coeff*sigma );
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if ( abs( curErr - mean) > coeff*sigma )
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{
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@@ -125,6 +126,6 @@ int CV_AMLTest::validate_test_results( int testCaseIdx )
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TEST(ML_DTree, regression) { CV_AMLTest test( CV_DTREE ); test.safe_run(); }
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TEST(ML_Boost, regression) { CV_AMLTest test( CV_BOOST ); test.safe_run(); }
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TEST(ML_RTrees, regression) { CV_AMLTest test( CV_RTREES ); test.safe_run(); }
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TEST(ML_ERTrees, regression) { CV_AMLTest test( CV_ERTREES ); test.safe_run(); }
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TEST(DISABLED_ML_ERTrees, regression) { CV_AMLTest test( CV_ERTREES ); test.safe_run(); }
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/* End of file. */
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