phase 1

model/constant_predictor.py

@@ -0,0 +1,21 @@
+import tensorflow as tf
+import numpy as np
+
+def build_model():
+    model = tf.keras.Sequential([
+        tf.keras.layers.Dense(16, activation='relu', input_shape=(5,)),
+        tf.keras.layers.Dense(8, activation='relu'),
+        tf.keras.layers.Dense(1, activation='linear')
+    ])
+    model.compile(optimizer='adam', loss='mse', metrics=['mae'])
+    return model
+
+def train_model(X_train, y_train):
+    model = build_model()
+    model.fit(X_train, y_train, epochs=100, batch_size=8, verbose=0)
+    return model
+
+# 사용 예시:
+# input: [physical, stamina, tech, accuracy, reading]
+# X_train = np.array([[12.5, 26, 0.41, 0.1, 0.0], ...])
+# y_train = np.array([11.0, ...])