stop update, you can find new code in hasky/applications
see README.md in ./examples
incase not find dependence, make sure set PYTHONPATH to include tensorflow-example/util so we can find gezi and melt
cd ./depreciated
basic tensorflow examples of doing binary classification will show auc result for each epoch It can deal with both dense or sparse input(like 3:2.5 1234:6.7)
#binary classification of dense input data using logistic regression python ./binary_classification.py --train ./data/feature.normed.rand.12000.0_2.txt --test ./data/feature.normed.rand.12000.1_2.txt python ./binary_classification.py --train ./data/feature.normed.rand.12000.0_2.txt --test ./data/feature.normed.rand.12000.1_2.txt --method mlp
#binary classification of sparse input data using logistic regression
python ./binary_classification.py --train ./data/feature.trate.0_2.normed.txt --test ./data/feature.trate.1_2.normed.txt
python ./binary_classification.py --train ./data/feature.trate.0_2.normed.txt --test ./data/feature.trate.1_2.normed.txt --method mlp
python ./binary_classification.py --tr corpus/feature.trate.0_2.normed.txt --te corpus/feature.trate.1_2.normed.txt --batch_size 200 --method mlp --num_epochs 1000
... loading dataset: corpus/feature.trate.0_2.normed.txt
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finish loading train set corpus/feature.trate.0_2.normed.txt
... loading dataset: corpus/feature.trate.1_2.normed.txt
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finish loading test set corpus/feature.trate.1_2.normed.txt
num_features: 4762348
trainSet size: 70968
testSet size: 17742
batch_size: 200 learning_rate: 0.001 num_epochs: 1000
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 24
I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 24
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 24
I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 24
0 auc: 0.503701159392 cost: 0.69074464019
1 auc: 0.574863035489 cost: 0.600787888115
2 auc: 0.615858601208 cost: 0.60036152958
3 auc: 0.641573172518 cost: 0.599917832685
4 auc: 0.657326531323 cost: 0.599433459447
5 auc: 0.666575623414 cost: 0.598856064529