코드 변경 내용을 요약한 커밋 메시지입니다.

test/digits.py

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+import os
+import sys
+
+from keras.layers import Dense
+from keras.models import Sequential
+from keras.utils import to_categorical
+from sklearn.datasets import load_digits
+from sklearn.model_selection import train_test_split
+
+from pso import optimizer
+
+os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
+
+
+def make_model():
+    model = Sequential()
+    model.add(Dense(12, input_dim=64, activation="relu"))
+    model.add(Dense(10, activation="relu"))
+    model.add(Dense(10, activation="softmax"))
+
+    return model
+
+
+def get_data():
+    digits = load_digits()
+    X = digits.data
+    y = digits.target
+
+    x = X.astype("float32")
+
+    y_class = to_categorical(y)
+
+    x_train, x_test, y_train, y_test = train_test_split(
+        x, y_class, test_size=0.2, random_state=42, shuffle=True
+    )
+    return x_train, x_test, y_train, y_test
+
+
+x_train, x_test, y_train, y_test = get_data()
+model = make_model()
+
+digits_pso = optimizer(
+    model,
+    loss="categorical_crossentropy",
+    n_particles=300,
+    c0=0.5,
+    c1=0.3,
+    w_min=0.2,
+    w_max=0.9,
+    negative_swarm=0,
+    mutation_swarm=0.1,
+    convergence_reset=True,
+    convergence_reset_patience=10,
+    convergence_reset_monitor="loss",
+    convergence_reset_min_delta=0.001,
+)
+
+digits_pso.fit(
+    x_train,
+    y_train,
+    epochs=500,
+    validate_data=(x_test, y_test),
+    log=2,
+    save_info=True,
+    renewal="loss",
+    log_name="digits",
+)
+
+print("Done!")
+
+sys.exit(0)