코드 변경 내용을 요약한 커밋 메시지입니다.

test/xor.py

@@ -0,0 +1,76 @@
+# %%
+import os
+import sys
+
+os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
+
+import numpy as np
+import tensorflow as tf
+from tensorflow import keras
+from tensorflow.keras import layers
+from tensorflow.keras.layers import Dense
+from tensorflow.keras.models import Sequential
+
+from pso import optimizer
+
+
+def get_data():
+    x = np.array([[0, 0], [0, 1], [1, 0], [1, 1]])
+    y = np.array([[0], [1], [1], [0]])
+    return x, y
+
+
+def make_model():
+    model = Sequential()
+    model.add(layers.Dense(2, activation="sigmoid", input_shape=(2,)))
+    model.add(layers.Dense(1, activation="sigmoid"))
+
+    return model
+
+
+# %%
+model = make_model()
+x_test, y_test = get_data()
+
+loss = [
+    "mean_squared_error",
+    "mean_squared_logarithmic_error",
+    "binary_crossentropy",
+    "categorical_crossentropy",
+    "sparse_categorical_crossentropy",
+    "kullback_leibler_divergence",
+    "poisson",
+    "cosine_similarity",
+    "log_cosh",
+    "huber_loss",
+    "mean_absolute_error",
+    "mean_absolute_percentage_error",
+]
+
+pso_xor = optimizer(
+    model,
+    loss=loss[0],
+    n_particles=100,
+    c0=0.35,
+    c1=0.8,
+    w_min=0.6,
+    w_max=1.2,
+    negative_swarm=0.1,
+    mutation_swarm=0.2,
+    particle_min=-3,
+    particle_max=3,
+)
+best_score = pso_xor.fit(
+    x_test,
+    y_test,
+    epochs=200,
+    save_info=True,
+    log=2,
+    log_name="xor",
+    renewal="acc",
+    check_point=25,
+)
+
+print("Done!")
+sys.exit(0)
+# %%