Cannot SubClass - NotImplementedError Thrown

[Melkeydev]

Hi, I am trying to run Keras- Tune for something I am building, which requires a Conv1D and I need to pass in parameters to my model.

`class MyHyperModel(HyperModel): def init(self, vocab_size, vector_size, word_vector_matrix, max_len): self.vocab_size = vocab_size self.vector_size = vector_size self.word_vector_matrix = word_vector_matrix self.max_len = max_len

def build_model(self,hp):
    model = tf.keras.Sequential()
    model.add(Embedding(self.vocab_size,
                            self,vector_size,
                            weights=[self.word_vector_matrix],
                            input_length=self.max_len,
                            trainable=False))

    for i in range(hp.Int("n_layers",1,4)): 
        model.add(Conv1D(hp.Int("input_units",32,256,32), hp.Int("input_units",2,8,1), activation='relu'))
        model.add(MaxPooling1D(hp.Int("input_units",2,8,1)))
        model.add(Dropout(0.5))

    model.add(Conv1D("input_units",32,256,32, hp.Int("input_units",2,8,1), activation='relu'))
    model.add(MaxPooling1D(hp.Int("input_units",2,20,4)))

    model.add(Flatten())
    
    model.add(Dense(128, activation='relu'))

    model.add(Dense(1, activation='sigmoid'))

    model.compile(optimizer=Adam(learning_rate=LR), loss='binary_crossentropy', metrics=['accuracy'])

    return model

EarlyStopping = tf.keras.callbacks.EarlyStopping( monitor='val_loss', min_delta=0, patience=2, verbose=0, mode='auto', baseline=None, restore_best_weights=True )

filepath = "weights-{epoch:02d}-{val_accuracy:.2f}.hdf5"

ModelCheckpoint = tf.keras.callbacks.ModelCheckpoint( filepath=f"./data/modelCheckpoints/{filepath}",save_weights_only=True, monitor='val_loss', save_best_only=True, mode='min', save_freq='epoch' )

weight_for_0 = (1/neg)(total)/2.0 weight_for_1 = (1/pos)(total)/2.0

class_weight = {0: weight_for_1, 1: weight_for_0}

tuner = RandomSearch(MyHyperModel(vocab_size,vector_size,word_vector_matrix,max_len),objective='val_loss',max_trials=3,executions_per_trial=2,directory=LOG_DIR) tuner.search(x=x_train,y=y_train,epochs=30,batch_size=64, validation_data = (x_test,y_test),callbacks=[EarlyStopping,ModelCheckpoint],class_weight=class_weight)``

but I am getting the following error: NotImplementedError

Is this an issue for how I am subclassing? Any help would be appreciated