1 // Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 // 3 // Licensed under the Apache License, Version 2.0 (the "License"); 4 // you may not use this file except in compliance with the License. 5 // You may obtain a copy of the License at 6 // 7 // http://www.apache.org/licenses/LICENSE-2.0 8 // 9 // Unless required by applicable law or agreed to in writing, software 10 // distributed under the License is distributed on an "AS IS" BASIS, 11 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 // See the License for the specific language governing permissions and 13 // limitations under the License. 14 // ============================================================================= 15 #ifndef TENSORFLOW_CONTRIB_BOOSTED_TREES_LIB_TESTUTIL_BATCH_FEATURES_TESTUTIL_H_ 16 #define TENSORFLOW_CONTRIB_BOOSTED_TREES_LIB_TESTUTIL_BATCH_FEATURES_TESTUTIL_H_ 17 18 #include "tensorflow/contrib/boosted_trees/lib/utils/batch_features.h" 19 #include "tensorflow/core/framework/tensor.h" 20 #include "tensorflow/core/lib/random/simple_philox.h" 21 22 namespace tensorflow { 23 namespace boosted_trees { 24 namespace testutil { 25 26 // This method calls Initialize on the given 'batch_features', which will be 27 // populated with randomly generated feature values when the call returns. 28 // 'tensors' returns a vector of all tensors used in the initialization, 29 // because they must outlive 'batch_features'. 30 // 31 // All float features will be either missing or uniformly randomly chosen 32 // from [0, 1). For sparse (float) features, a sparsity is uniformly randomly 33 // chosen from ['sparsity_lo', 'sparsity_hi') per feature, and each instance 34 // will have a probability of sparsity of missing that feature, in other words, 35 // sparsity = 1 - density. 36 void RandomlyInitializeBatchFeatures( 37 tensorflow::random::SimplePhilox* rng, uint32 num_dense_float_features, 38 uint32 num_sparse_float_features, double sparsity_lo, double sparsity_hi, 39 boosted_trees::utils::BatchFeatures* batch_features); 40 41 } // namespace testutil 42 } // namespace boosted_trees 43 } // namespace tensorflow 44 45 #endif // TENSORFLOW_CONTRIB_BOOSTED_TREES_LIB_TESTUTIL_BATCH_FEATURES_TESTUTIL_H_ 46