yanboliang commented on a change in pull request #132: SUBMARINE-296. [SDK]
Submarine pipeline example
URL: https://github.com/apache/submarine/pull/132#discussion_r380486678
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File path: submarine-sdk/pysubmarine/example/deepFM.json
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@@ -0,0 +1,31 @@
+{
+ "input": {
+ "train_data": "./data/tr.libsvm",
+ "valid_data": "./data/va.libsvm",
+ "test_data": "./data/te.libsvm",
+ "type": "libsvm"
+ },
+ "output": {
+ "save_model_dir": "./experiment",
+ "metric": "auc"
+ },
+ "training": {
+ "batch_size" : 512,
+ "field_size": 39,
+ "num_epochs": 3,
+ "feature_size": 117581,
+ "embedding_size": 256,
+ "learning_rate": 0.0005,
+ "batch_norm_decay": 0.9,
+ "l2_reg": 0.0001,
+ "deep_layers": "400,400,400",
+ "dropout": "0.3,0.3,0.3",
+ "batch_norm": false,
+ "optimizer": "adam",
+ "log_steps": 10,
+ "num_threads": 4,
+ "num_gpu": 0,
+ "seed": 77,
+ "mode": "local"
Review comment:
Can we reorg the ```training``` parameters into two parts: ```algorithm```
and ```system```. The ```algorithm``` part should be more friendly to data
scientists and machine learning engineers, and the ```system``` part would be
more advanced.
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