####Command-line interface to easily train and test character classification ML.

Currently Date has to be in a csv file and the total number of pixels have to be the same for training and testing images

##Test ###Usage: Loads pickle of previously trained neuron network to use with testing images

####Command:

charc test [-h] -d pkl-filename  -i [IMAGES [IMAGES ...]]

####Args:

• -d: Pickle filename
• -i: name of image followed by label

####Examples:

charc test -d nn.pkl -i image_number_1.jpg 1 image_number4.jpg 4

charc test -d other_nn.pkl -i number_5_image.png 5

##Train ###Usage: Trains and saves neuron network to pickle

####Command:

charc train [-h] -d [training-data-filename[DATA ...] [-i INODES] [-o ONODES] [-n HNODES] [-l L_RATE]
             [-e EPOCH] [--out OUT]

####Args:

• -d: CSV files
• -i: Input Nodes
• -o: Output Nodes
• -n: Hidden Nodes
• -l: Learning Rate
• -e: epoch
• --out: Output filename

####Examples:

charc test -d data.csv -e 3 -l .1 --out nn

charc test -d data.csv data2.csv -i 784 -n 200 -o 10 --out other_nn