lstm 支持向量机和随机森林的代码
时间: 2023-10-05 22:14:54 浏览: 52
以下是 Python 中使用 sklearn 库实现 LSTM、支持向量机和随机森林的示例代码:
LSTM:
```python
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
# create and fit the LSTM network
model = Sequential()
model.add(LSTM(4, input_shape=(1,1)))
model.add(Dense(1))
model.compile(loss='mean_squared_error', optimizer='adam')
model.fit(X_train, y_train, epochs=100, batch_size=1, verbose=2)
```
支持向量机:
```python
from sklearn import svm
# create and fit the SVM model
model = svm.SVR(kernel='linear', C=1e3, gamma='auto')
model.fit(X_train, y_train)
```
随机森林:
```python
from sklearn.ensemble import RandomForestRegressor
# create and fit the random forest model
model = RandomForestRegressor(n_estimators=100, random_state=0)
model.fit(X_train, y_train)
```
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