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Update README.md
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cyente committed Jul 31, 2019
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Expand Up @@ -40,27 +40,29 @@ usage: main.py [-h] [--dataset DATASET] [--batchSize BATCHSIZE]
[--step STEP] [--patience PATIENCE] [--nonhybrid]
[--validation] [--valid_portion VALID_PORTION]

optional arguments:
-h, --help show this help message and exit
--dataset DATASET dataset name:
diginetica/yoochoose1_4/yoochoose1_64/sample
--batchSize BATCHSIZE
input batch size
--hiddenSize HIDDENSIZE
hidden state size
--epoch EPOCH the number of epochs to train for
--lr LR learning rate
--lr_dc LR_DC learning rate decay rate
--lr_dc_step LR_DC_STEP
the number of epochs after which the learning rate
decay
--l2 L2 l2 penalty
--step STEP gnn propogation steps
--patience PATIENCE the number of epoch to wait before early stop
--nonhybrid only use the global preference to predict
--validation validation
--valid_portion VALID_PORTION
split the portion of training set as validation set
parameters arguments:
epoch_num the max epoch number
train_batch_size training batch size
valid_batch_size validation batch size
hidden_size = 16 hidden size of the NGNN

lstm_forget_bias = 0.0

max_grad_norm = 1
init_scale = 0.05
learning_rate = 0.01 # 0.001 # 0.2
decay = 0.5
decay_when = 0.002 # AUC
decay_epoch = 200
sgd_opt = 'RMSProp'
beta = 0.0001
GNN_step = 3
dropout_prob = 0
adagrad_eps = 1e-5
gpu = 0



```

## Requirements
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