Rodrigo Agundez
Rodrigo Agundez
certainly [this](https://github.com/MrPowers/chispa/blob/master/chispa/column_comparer.py#L10) will be so much clearer and main maintenance will be on PySpark itself.
any update on this one? is it solved yet?
so how do I install it @drykovanov ?
ping @drykovanov
@maciejkula it seems this discussion went quite off-track to the issue. So coming to the issue of retrieving item similarities, this could done by adding a method to `BilinearNet` since...
this shouldn't be too difficult to implement, I do think it is quite useful specially for applications with limited data at the beginning where user / item metadata can serve...
Hi @bittergourd1224 I made this minimal reproducible example ``` import numpy as np from keras.preprocessing.image import ImageDataGenerator x = np.random.randint(0, 255, size=(1, 10, 10, 3)) g = ImageDataGenerator() x_g =...
You're actually right. good catch @bittergourd1224 . When you save images to disk, it does so by scaling the pixel values between [0, 255]. https://github.com/keras-team/keras-preprocessing/blob/master/keras_preprocessing/image/numpy_array_iterator.py#L159 At the moment there is...
did you search in the issues history for something similar? perhaps it has been already asked and answered.
Hi @bittergourd1224 do you mind checking #244 and commenting in the PR if this solve your problem. I think it does.