twodlearn.datasets.cyber module

class twodlearn.datasets.cyber.Kdd99(work_directory, train_size=0.7, min_samples=1000, attrs=None, multi_class=True, one_hot=True)

Bases: twodlearn.datasets.base.Datasets

class twodlearn.datasets.cyber.Kdd99Test(work_directory, multi_class=True)

Bases: twodlearn.datasets.cyber.Kdd99Train

filename = {'data': 'kddcup.data.gz', 'names': 'kddcup.names'}

src = {'data': 'http://kdd.ics.uci.edu/databases/kddcup99/corrected.gz', 'names': 'http://kdd.ics.uci.edu/databases/kddcup99/kddcup.names'}

class twodlearn.datasets.cyber.Kdd99Train(work_directory, multi_class=True)

Bases: twodlearn.datasets.unbalanced.DfUnbalancedDataset

filename = {'data': 'kddcup.data.gz', 'names': 'kddcup.names'}

static get_names(filename, work_directory)

src = {'data': 'http://kdd.ics.uci.edu/databases/kddcup99/kddcup.data.gz', 'names': 'http://kdd.ics.uci.edu/databases/kddcup99/kddcup.names'}

property work_directory

class twodlearn.datasets.cyber.NslKdd(src_directory, use_groups=True, multi_class=True, train_size=0.7, one_hot=True, min_samples=900, attrs=None)

Bases: twodlearn.datasets.base.Datasets

class twodlearn.datasets.cyber.NslKddTest(src_directory, use_groups=False, multi_class=True)

Bases: twodlearn.datasets.cyber.NslKddTrain

filename = {'columns': 'Field Names.csv', 'data': 'KDDTest+.csv', 'labels': 'Attack Types.csv'}

class twodlearn.datasets.cyber.NslKddTrain(src_directory, use_groups=False, multi_class=True)

Bases: twodlearn.datasets.unbalanced.DfUnbalancedDataset

filename = {'columns': 'Field Names.csv', 'data': 'KDDTrain+.csv', 'labels': 'Attack Types.csv'}

property label_groups

static read_columns(filename, work_directory)

static read_labels(filename, work_directory)

property src_directory