previous_loader.lj

using DataFrames
function data_loader(max_training_set)
    main_data = readtable("train_test.csv", separator=',')
    labels_train = main_data[1:max_training_set,3073] # all labels are here for training ##001-240
    images_train = main_data[1:max_training_set,1:3072] # all images are here for training
    labels_test = main_data[(max_training_set+1):300,3073] # all test_labels are here for testing ##241-300
    images_test = main_data[(max_training_set+1):300,1:3072] # all images are here for testing
    grades = ["grade-a","grade-b","grade-c","grade-d","grade-e","grade-f","grade-g","grade-h","grade-i"]
#    return labels_train,images_train,labels_test,images_test,grades
    data_dict = Dict(
    "images_train"=> convert(images_train,zeros(Float32,240,3072)),
    "labels_train"=> convert(labels_train,zeros(Float32,240,3072)),
    "images_test"=> convert(images_test,zeros(Float32,60,3072)),
    "labels_test"=> convert(labels_test,zeros(Float32,60,3072)),
    "grades"=> convert(grades,fill("",9,1))  )
    return data_dict
end

function batch_loader()
    centent = 0
end