Created
December 16, 2019 11:35
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| model = xDeepFM(linear_feature_columns, dnn_feature_columns, dnn_hidden_units=(256, 256),\ | |
| cin_layer_size=(128, 128), \ | |
| cin_split_half=True, cin_activation='relu'\ | |
| ,l2_reg_linear=1e-05,\ | |
| l2_reg_embedding=1e-05, l2_reg_dnn=0, l2_reg_cin=0, \ | |
| init_std=0.0001,seed=1024, dnn_dropout=0,dnn_activation='relu', \ | |
| dnn_use_bn=False, task='binary') | |
| #compiling the model | |
| model.compile("adam", "binary_crossentropy",metrics=['binary_crossentropy'], ) | |
| # training the model | |
| history = model.fit(train_model_input, train[target].values, | |
| batch_size=256, epochs=10, verbose=2, validation_split=0.2, ) | |
| #predicting | |
| pred_ans_xdeep = model.predict(test_model_input, batch_size=256) |
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