Keras can take data directly from a numpy
array in addition to preexisting datasets.
Let's take an existing .csv
file from the internet and use it to create a Keras dataset:
dataset=numpy.loadtxt("https://raw.githubusercontent.com/jbrownlee/Datasets/master/pima-indians-diabetes.data.csv",delimiter=",") # split into input (X) and output (Y) variables X=dataset[:,0:8] Y=dataset[:,8]
Note that the dataset can be directly loaded from the URL with the .csv
file.
The output of the preceding code is listed in the following snippet:
[ 6. 148. 72. 35. 0. 33.6 0.627 50. ] 1.0