tflucke/SSH-Master-Thesis @ cb943b007e7a02f96060520adc3283e3998e98d0

Ethan Goldfarb cb943b007e brief update		преди 6 години
..
README.md	cb943b007e brief update	преди 6 години
Vector.py	a30cb9c655 preliminary commit for nn and knn classifiers and fv class	преди 6 години
classifier.py	ecb63ae52a fixed bugs	преди 6 години
logs.py	5bdc48c964 neural network using tensorflow for data classification. Note: Very preliminary	преди 6 години
nearestneighbors.py	cb943b007e brief update	преди 6 години
pcap.py	5bdc48c964 neural network using tensorflow for data classification. Note: Very preliminary	преди 6 години

The train(classifications: int, data: list, results: list, testdata: list, testresults: list) function should be used.

Data and Testdata should be arrays of arrays of features, ex:

Suppose there are 3 features, each a float from 0 to 1. Data could be: [[.3, .2, .3], [.3, .3, .3], [.3, .4, .5]...]

Results should be ints in an array, each result accoring to the list of features it should represent the classification of.

Make a command line utility that reads in samples, transforms them to FeatureVectors and then runs a number of classifications on them.