Searched refs:RAW_OUTPUT (Results 1 – 11 of 11) sorted by relevance
| /external/chromium-trace/catapult/devil/devil/utils/ |
| D | lsusb_test.py | 17 RAW_OUTPUT = """ variable
228 ['lsusb', '-v', '-s', '003:007'], timeout=10), (None, RAW_OUTPUT))):
236 ['lsusb', '-v', '-s', '003:007'], timeout=10), (None, RAW_OUTPUT))):
244 ['lsusb', '-v', '-s', '003:007'], timeout=10), (None, RAW_OUTPUT))):
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| /external/opencv3/modules/java/src/ |
| D | ml+StatModel.java | 19 RAW_OUTPUT = 1, field in StatModel
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| /external/opencv3/modules/ml/src/ |
| D | boost.cpp | 211 …int predictFlags = bparams.boostType == Boost::DISCRETE ? (PREDICT_MAX_VOTE | RAW_OUTPUT) : PREDIC… in updateWeightsAndTrim()
366 if( !(flags0 & RAW_OUTPUT) ) in predictTrees()
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| D | rtrees.cpp | 150 int predictFlags = _isClassifier ? (PREDICT_MAX_VOTE + RAW_OUTPUT) : PREDICT_SUM; in train()
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| D | nbayes.cpp | 310 bool rawOutput = (flags & RAW_OUTPUT) != 0; in predictProb()
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| D | tree.cpp | 1392 predictType = !_isClassifier || (classLabels.size() == 2 && (flags & RAW_OUTPUT) != 0) ? in predictTrees()
1487 sum = (flags & RAW_OUTPUT) ? (float)best_idx : classLabels[best_idx]; in predictTrees()
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| D | svm.cpp | 1917 bool returnDFVal = (flags & RAW_OUTPUT) != 0; in predict()
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| /external/opencv3/modules/ml/test/ |
| D | test_save_load.cpp | 217 … model->predict(input, output, StatModel::RAW_OUTPUT | (isTree ? DTrees::PREDICT_SUM : 0)); in oneTest()
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| /external/opencv3/modules/ml/include/opencv2/ |
| D | ml.hpp | 296 RAW_OUTPUT=1, //!< makes the method return the raw results (the sum), not the class label enumerator
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| /external/opencv3/samples/cpp/ |
| D | letter_recog.cpp | 314 float s = model->predict( temp_sample, noArray(), StatModel::RAW_OUTPUT ); in build_boost_classifier()
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| /external/opencv3/modules/ml/doc/ |
| D | ml_intro.markdown | 88 StatModel::predict(samples, results, flags) should be used. Pass flags=StatModel::RAW_OUTPUT to get
243 StatModel::predict(samples, results, flags) should be used. Pass flags=StatModel::RAW_OUTPUT to get
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