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feat: menambahkan long short term memory - #256
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Signed-off-by: slowy07 <slowy.arfy@gmail.com>
| x_train = np.array(train_x) | ||
| x_test = np.array(test_x) | ||
| y_train = np.array([list(i.ravel()) for i in train_y]) | ||
| y_test = np.array([list(i.ravel()) for i in test_y]) |
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Unused global variable
| model.add(LSTM(64, input_shape=(128, 1))) | ||
| model.add(Dense(hari_berikut)) | ||
| model.compile(loss="mean_squared_error", optimizer="adam") | ||
| history = model.fit( |
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Code scanning / CodeQL
Unused global variable
| history = model.fit( | ||
| x_train, y_train, epochs=150, verbose=1, shuffle=True, batch_size=4 | ||
| ) | ||
| prediksi = model.predict(x_test) |
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Code scanning / CodeQL
Unused global variable
terima kasih atas kontribusinya @slowy07! |
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Deskripsi (Description)
menambahkan contoh sederhana dari implementasi long short term memory
Checklist:
Umum:
Contributor Requirements (Syarat Kontributor) dan Lain-Lain:
Unit Testing dan Linting:
Environment
Saya menggunakan (I'm using):
os=linuxpython=python 3.10.10linked issue #246