Module tests_warehouse

source code

Miscelaneous functions/datasets to be used in the unit tests

Functions

[hide private]

sweepargs(**kwargs)
Decorator function to sweep over a given set of classifiers

source code

Variables

[hide private]

unittest

_all_states_enabled = False

snr_scale = cfg.getAsDType('tests', 'snr scale', float, defaul...

specs = {'large': {'perlabel': 99, 'nchunks': 11, 'nfeatures':...

nonbogus_pool = [0, 1, 3, 5]

datasets = {}

_dsinv = dumbFeatureDataset()

Imports: environ, traceback, sys, cfg, OddEvenSplitter, MaskedDataset, Classifier, ClassWithCollections, chirpLinear, noisy_2d_fx, multipleChunks, linear_awgn, Dataset, dumbFeatureDataset, wr1996, normalFeatureDataset, pureMultivariateSignal, normalFeatureDataset__, getMVPattern, sinModulated, dumbFeatureBinaryDataset, debug

Function Details

[hide private]

sweepargs(**kwargs)

source code

Decorator function to sweep over a given set of classifiers

Often some unittest method can be ran on multiple classifiers. So this decorator aims to do that

Parameters:

clfs (list of Classifier) - List of classifiers to run method on

Variables Details

[hide private]

snr_scale

Value:

cfg.getAsDType('tests', 'snr scale', float, default= 1.0)

specs

Value:

{'large': {'perlabel': 99, 'nchunks': 11, 'nfeatures': 20, 'snr': 8* s
nr_scale}, 'medium': {'perlabel': 24, 'nchunks': 6, 'nfeatures': 14, '
snr': 8* snr_scale}, 'small': {'perlabel': 12, 'nchunks': 4, 'nfeature
s': 6, 'snr': 14* snr_scale}}

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