tensorflow - How do I overcome the problem, model fit in python

Question

I'm studying the machine learnig. It's interesting!

I have a question about the error. I share the code and error message, below. Please resolve it..! Thank you very much! The error shows me the value error input 0 layer if the sequential_4...

a=df4['age']
b=df4['growth']
    
X=np.array(a.values.tolist())
y=np.array(b.values.tolist())

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from sklearn.model_selection import train_test_split
import numpy
import tensorflow as tf

seed = 0
numpy.random.seed(seed)
tf.random.set_seed(3)

X_train, X_test, y_train, y_test = train_test_split(a, b,
                                                    test_size = 0.3, random_state=seed)

model = Sequential()
model.add(Dense(30, input_dim=17, activation='relu'))
model.add(Dense(8, activation='relu'))
model.add(Dense(1))

model.compile(loss='mean_sqaured_error',
              optimizer='adam')

model.fit(X_train, y_train, validation_data= (X_test, y_test), epochs=200, batch_size=10)
 

error message Epoch 1/200

ValueError                                Traceback (most recent call last)
<ipython-input-56-ffc8e137fb64> in <module>()
----> 1 model.fit(X_train, y_train, validation_data= (X_test, y_test), epochs=200, batch_size=10)

9 frames
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/func_graph.py in wrapper(*args, **kwargs)
    975           except Exception as e:  # pylint:disable=broad-except
    976             if hasattr(e, "ag_error_metadata"):
--> 977               raise e.ag_error_metadata.to_exception(e)
    978             else:
    979               raise

ValueError: in user code:

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:805 train_function  *
    return step_function(self, iterator)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:795 step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:1259 run
    return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:2730 call_for_each_replica
    return self._call_for_each_replica(fn, args, kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/distribute/distribute_lib.py:3417 _call_for_each_replica
    return fn(*args, **kwargs)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:788 run_step  **
    outputs = model.train_step(data)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/training.py:754 train_step
    y_pred = self(x, training=True)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py:998 __call__
    input_spec.assert_input_compatibility(self.input_spec, inputs, self.name)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/input_spec.py:259 assert_input_compatibility
    ' but received input with shape ' + display_shape(x.shape))

ValueError: Input 0 of layer sequential_14 is incompatible with the layer: expected axis -1 of input shape to have value 17 but received input with shape (None, 1)

question from:https://stackoverflow.com/questions/66048237/how-do-i-overcome-the-problem-model-fit-in-python

Answer 1

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