def setUpTesting(SamplesSize, featurestype, modeltype):
dirtocheck = "./trainingdata/"+featurestype;
responsespath = "responses";
samplespath = "samples";
responses = [];
samples = [];
for root, _, files in os.walk(dirtocheck + responsespath):
for f in files:
fullpath = os.path.join(root, f)
# print f
newResponses = np.loadtxt(fullpath, np.float32)
newResponses = newResponses.reshape((newResponses.size,1));
responses = np.append(responses, [newResponses]);
for root, _, files in os.walk(dirtocheck + samplespath):
for f in files:
fullpath = os.path.join(root, f)
# print f
newSamples = np.loadtxt(fullpath, np.float32)
#print newSamples
samples = np.append(samples, [newSamples]);
#print samples
ninputs = len(samples)/len(responses);
samples = np.array(samples.reshape(np.size(responses),np.size(samples)/np.size(responses)), np.float32);
responses = np.array(responses, np.float32);
# print samples
# print responses
noutputs = len(set(responses));
# print ninputs
# print noutputs
model = Classification.createModel(modeltype, ninputs, noutputs);
responses_order = list(set(responses));
responses_order.sort();
Classification.trainModel(modeltype, model, responses, samples, responses_order);
return [responses, samples, model, responses_order]
