def main():
parser = argparse.ArgumentParser(description='Fator 7 StarWeb Builder.')
parser.add_argument("absolute_path")
parser.add_argument("--env", default="gisdesenv")
parser.add_argument("--run", action="store_true")
args = parser.parse_args()
print("Local path.: {f}".format(f=args.absolute_path))
print("Work dir...: {d}".format(d=os.environ['STARWEB_WORK_DIR']))
print("Remote.path: {p}".format(p=os.environ['STARWEB_SHARE_PATH']))
if args.run:
print("Env........: {e}".format(e=args.env))
print("Run........: {r}\n".format(r=args.run))
else:
print("Env........: {e}\n".format(e=args.env))
builder = Builder(os.environ['STARWEB_SHARE_PATH'],
args.absolute_path,
os.environ['STARWEB_WORK_DIR'],
args.env,
args.run,
os.environ['STARWEB_USER'],
os.environ['STARWEB_PASSWORD'])
if args.run:
builder.run_script()
else:
builder.copy()
builder.build()
def build(self):
print("build")
path = self.entry_dirPath.get()
if self.checkInput(path):
self.builder = Builder(path, self.bins)
try:
Builder.build(self.builder)
if self.builder.trainingSet is None:
tkMessageBox.showinfo("Bad input", "Bins isn't valid, Please try to another value of bins")
else:
tkMessageBox.showinfo("Building Done", "Building classifier using train-set is done!")
except:
tkMessageBox.showinfo("Failed", "Something went wrong, please try again")
def __init__(self, train_data, predict_on, n_trees=20, max_depth=5, predictors=None): from Builder import Builder self.train_data = train_data self.n_trees = n_trees self.max_depth = max_depth self.predict_on = predict_on self.trees = [] self.avg = sum(train_data[predict_on])/float(len(train_data)) b = Builder() for n in xrange(n_trees): print "starting tree " + str(n+1) self.trees.append(b.build(train_data, predict_on, max_depth, predictors)) print "finished tree " + str(n+1)
def train(self):
# Normalize the weights of the event sample
sumWeights = 0
for iSample in range(len(self.eventSample)):
sumWeights += self.eventSample[iSample][1]
for iSample in range(len(self.eventSample)):
self.eventSample[iSample][1] /= sumWeights
builder = Builder();
# Build the forest
for iTree in range(self.numTrees):
print("Tree:", iTree)
# Boost the event weights
if iTree!=0:
for iSample in range(len(self.eventSample)):
out = self.trees[iTree-1].evaluate(self.eventSample[iSample][0])
self.eventSample[iSample][1] *= np.exp(-out*self.treeWeights[iTree-1]*self.eventSample[iSample][2])
# Train tree
tree = builder.build(self.eventSample, self.treeDepth, self.numCuts, self.minNodeSize)
self.trees.append(tree)
# Set tree weight
if iTree==0:
self.treeWeights.append(1)
else:
err = 0
for iSample in range(len(self.eventSample)):
out = self.trees[iTree].evaluate(self.eventSample[iSample][0])
if out!=self.eventSample[iSample][2]:
err += self.eventSample[iSample][1]
self.treeWeights.append(0.5*np.log((1.0-err)/err))
# Test trained trees
numTrue = 0
numFalse = 0
for iSample in range(len(self.eventSample)):
out = self.evaluate(self.eventSample[iSample][0])
if out==self.eventSample[iSample][2]:
numTrue += 1
else:
numFalse += 1
print("Eff:", numTrue/(numTrue+numFalse))
from Builder import Builder
main = input('Какую газировку выбираете?(1 - Cola, 2 - Pepsi): ')
while main not in ['1', '2']:
main = input('Какую газировку выбираете?(1 - Cola, 2 - Pepsi): ')
if main == '1':
main = ColaFactory()
elif main == '2':
main = PepsiFactory()
_Builder = Builder(main)
try:
_Builder.addSoda()
except Exception as e:
raise e
_Builder.addLabel()
_Builder.Seal()
bottle1 = _Builder.build()
bottle2 = _Builder.build()
print(bottle1 is bottle2)
print(bottle1.Soda is bottle2.Soda)
print(bottle1.BattleLabel is bottle2.BattleLabel)
print(bottle1.seal == bottle2.seal)
from Builder import Builder copyright = '(C) UtgDev' minified = 'JSONPageBuilder' jsfolder = ['/js/libs/jquery', '/js/libs', '/js/libs/bootstrap', '/js/libs/moment','/js/libs/moment/extensions','/js/helpers','/js/fixtures','/js/pagebuilder','/js/pagebuilder/extensions', '/js'] removeTemp = False debug = True builder = Builder(copyright, minified, jsfolder, removeTemp, debug) builder.build()
