This directory contains different scripts to support CNTK.

The directory install contains scripts which are used in the CNTK binary download to install CNTK on a users system. They are NOT intended to run from this location in the repository.

• install/windows - A script for installing a Windows CNTK binary drop, cf. here.
• install/linux - A script for installing a Linux CNTK binary drop, cf. here.

Two Python Scripts for converting Data to CNTK Text format for using as an input for CNTK Text Format Reader (https://docs.microsoft.com/en-us/cognitive-toolkit/BrainScript-CNTKTextFormat-Reader).

txt2ctf.py converts a set of dictionary files and a plain text file to CNTK Text format.

Run python txt2ctf.py -h to see usage instructions. See the comments in the beginning of the script file for the specific usage example.

uci2ctf.py converts data stored in a text file in UCI format to CNTK Text format.

Run python uci2ctf.py -h to see usage instructions and example.

For Example:

python Scripts/uci2ctf.py --input_file Examples/Image/MNIST/Data/Train-28x28.txt --features_start 1 --features_dim 784 --labels_start 0 --labels_dim 1 --num_labels 10  --output_file examples/Image/MNIST/Data/Train-28x28_cntk_text.txt

• input_file - original dataset in the (columnar) UCI format
• features_start - index of the first feature column (start parameter in the UCIFastReader config, see here
• features_dim - number of feature columns (dim parameter in the UCIFastReader config)
• labels_start - index of the first label column
• labels_dim - number of label columns
• num_labels - number of possible label values (labelDim parameter in the UCIFastReader config)
• output_file - path and filename of the resulting dataset.