How to fix the error caused by .as_matrix in google colab, as this doesn't work anymore. I have tried using .value and .Numpy and get an error converting numpy to tf

 

from keras.optimizers import SGD # Stochastic Logistic Regression model = Sequential() # Model model.add(Dense(units=4, input_shape=[_train.shape[1]], activation='relu', kernel_regularizer=12 (0.001))) model.add(Dense (units=2, activation='relu', kernel_regularizer=12(0.001))) model.add(Dense(units=1,| Compile model activation='sigmoid', kernel_regularizer=12 (0.001))) sgd = SGD (learning_rate=0.1) model.compile(loss='binary_crossentropy', optimizer=sgd) Os # Fit the model history = model.fit (_train.as matrix( ), y_train.as_matrix().reshape(-1,1), batch_size = 256, epochs = 15, verbose=2, validation_data= (X_test.as_matrix(),y_test.as_matrix().reshape(-1,1))) [] 0 AttributeError Traceback (most recent call last) in () 1 # Fit the model -> 2 history = model.fit(X_train.as_matrix(), y_train.as_matrix().reshape(-1,1), batch_size = 256, 15, verbose=2, validation_data=(X_test.as_matrix(),y_test.as_matrix().reshape(-1,1))) 3 epochs = /usr/local/lib/python3.10/dist-packages/pandas/core/generic.py in _ getattr _ (self, name) 5900 5901 ): -> 5902 5903 5904 def AttributeError: return self [name] return object. _ _getattribute (self, name) setattr (self, name: str, value) -> None: 'DataFrame' object has no attribute 'as_matrix'