public code v1

test/integration/recommender/test_mlp.py

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+import pytest
+
+from pygrex.config import cfg
+from pygrex.data_reader.data_reader import DataReader
+from pygrex.models.mlp_model import MLPModel
+from pygrex.recommender import Recommender
+
+
+@pytest.fixture
+def setup_data():
+    mlp = MLPModel(**cfg.model.mlp)
+    data = DataReader(**cfg.data.testdata)
+    data.make_consecutive_ids_in_dataset()
+    data.binarize()
+    return mlp, data
+
+
+def test_train_mlp(setup_data):
+    mlp, data = setup_data
+    mlp.fit(data)
+    # Directly predict for a single valid item after fit
+    _ = mlp.predict(0, 0)