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This directory contains different script helping using different components of CNTK. | ||
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### CNTK Text format Converters | ||
Two Python Scripts for converting Data to CNTK Text format for using as an input for CNTK Text Format Reader (see https://github.com/microsoft/cnTK/wiki/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. | ||
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``` | ||
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. Also see a usage example below: | ||
``` | ||
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 https://github.com/Microsoft/CNTK/wiki/UCI-Fast-Reader) | ||
```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. | ||
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