Kavimani1634
commented
8 months ago ValueError Traceback (most recent call last) Cell In[11], line 3 1 # Training the model, with 40 iterations 2 # validation_split corresponds to the percentage of images used for the validation phase compared to all the images ----> 3 history = model.fit(X, y, batch_size=32, epochs=40, validation_split=0.1)
File c:\Users\testi\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\utils\traceback_utils.py:123, in filter_traceback.keras.config.disable_traceback_filtering()
--> 123 raise e.with_traceback(filtered_tb) from None
124 finally:
125 del filtered_tb
File c:\Users\testi\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\trainers\data_adapters\data_adapter_utils.py:166, in train_validation_split(arrays, validation_split)
164 unsplitable = [type(t) for t in flat_arrays if not _can_split(t)]
165 if unsplitable:
--> 166 raise ValueError(
167 "Argument validation_split is only supported "
168 "for tensors or NumPy arrays."
169 f"Found incompatible type in the input: {unsplitable}"
170 )
172 if all(t is None for t in flat_arrays):
173 return arrays, arrays
ValueError: Argument validation_split is only supported for tensors or NumPy arrays.Found incompatible type in the input: [<class 'int'>, <class 'int'>, <class 'int'>,
history = model.fit(X, y, batch_size=32, epochs=40, validation_split=0.1)