I am trying to build an image classifier for the Cancer Detection Kaggle Challenge. This is the code that I am using.
`train_datagen = ImageDataGenerator(rescale=1./255,
                                   validation_split=0.15
)
test_datagen = ImageDataGenerator(rescale=1./255)
train_path = MAIN_DIR + '/CancerTrain'
valid_path = MAIN_DIR + '/CancerTrain'
train_generator = train_datagen.flow_from_dataframe(
                dataframe = train_labels,
                directory=train_path,
                x_col = 'id',
                y_col = 'label',
                has_ext=False,
                subset='training',
                target_size=(96, 96),
                batch_size=64,
                class_mode='binary'
                )
validation_generator = train_datagen.flow_from_dataframe(
                dataframe=df,
                directory=valid_path,
                x_col = 'id',
                y_col = 'label',
                has_ext=False,
                subset='validation', # This is the trick to properly separate train and validation dataset
                target_size=(96, 96),
                batch_size=64,
                shuffle=False,
                class_mode='binary'
                )`
However, whenever I run it I get this error:
`AttributeError                            Traceback (most recent call last)
<ipython-input-22-eb9c70d0ad1c> in <module>()
     15                                                    )
     16 
---> 17 train_generator = train_datagen.flow_from_dataframe(
     18                 dataframe = train_labels,
     19                 directory=train_path,
AttributeError: 'ImageDataGenerator' object has no attribute 'flow_from_dataframe'`
I have looked everywhere and can't seem to find a solution. Is the method called something different now?
If you want to make use of the flow_from_dataframe() method I suggest you do the following:
Uninstall the current keras-preprocessing module:
pip uninstall keras-preprocessing
Install the keras-preprocessing module from the following git link:
pip install git+https://github.com/keras-team/keras-preprocessing.git
(you can see the method is available in the source code here)
and then import the ImageDataGenerator as follows:
from keras_preprocessing.image import ImageDataGenerator
                        I had the same error using Keras 2.1.4. I simply upgraded with pip install keras --upgrade.  Keras 2.2.4 does not give the same error.  It all works now.
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