23-11-01

tensorboard 선택 시 자동으로 프로세스 실행
비어있는 포트를 자동으로 탐색하여 오픈
이전 최적해와 비교하여 관성치를 높게 주는 방법을 일시 폐기
digits 테스트 추가
tensorboard 자동 설치 추가

digits.py

@@ -0,0 +1,75 @@
+import os
+import sys
+
+import pandas as pd
+import tensorflow as tf
+from sklearn.datasets import load_digits
+from sklearn.model_selection import train_test_split
+from tensorflow import keras
+from tensorflow.keras import layers
+from tensorflow.keras.layers import Dense
+from tensorflow.keras.models import Sequential
+from tensorflow.keras.utils import to_categorical
+
+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(8, 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="acc",
+    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="acc",
+    log_name="digits",
+)
+
+print("Done!")
+
+sys.exit(0)