def prepare_and_run(deltaconf):
""" Prepare the configuration and run experiments
"""
conf = Configuration()
conf.update(deltaconf)
if conf['expr.city.id'] is None:
conf['expr.city.id'] = CITY[conf['expr.city.name']]
experiment(conf)
def prepare_and_run(deltaconf):
""" Prepare the configuration and run experiments
"""
conf = Configuration()
conf.update(deltaconf)
if conf['expr.city.id'] is None:
conf['expr.city.id'] = CITY[conf['expr.city.name']]
experiment(conf)
def experimentPredictingTimeMajority(poicol, resdir, city_idx=None):
"""docstring for experimentColfilter
"""
conf = Configuration()
conf['expr.target'] = poicol
conf['expr.model'] = 'PredictingTimeMajority'
if city_idx is None:
cityloop(conf, resdir, 'ptm')
else:
run_experiment(conf, resdir, 'ptm', city_idx)
def experimentMarkovModel(poicol, resdir, city_idx=None):
"""docstring for experimentColfilter
"""
conf = Configuration()
conf['expr.target'] = poicol
conf['expr.model'] = 'MarkovChainModel'
if city_idx is None:
cityloop(conf, resdir, 'mm')
else:
run_experiment(conf, resdir, 'mm', city_idx)
def mockTrainTextExport(poicol, resdir, city_idx=None):
""" export the training trails and testing instance for inspection
"""
conf = Configuration()
conf['expr.target'] = poicol
conf['expr.model'] = 'mockTrainTextExport'
if city_idx is None:
cityloop(conf, resdir, 'tt')
else:
run_experiment(conf, resdir, 'tt', city_idx)
def __init__(self, master):
super(AnexprGui, self).__init__()
self.frame = tk.Frame(master)
self.frame.pack()
#TODO use eval for correct setting types
# Save button
btnSave = tk.Button(self.frame, text='Save')
btnSave.grid(row=0, column=0, columnspan=2, sticky=tk.E)
btnSave.bind('<Button-1>', lambda e: self.save())
self.doexpansion = tk.IntVar(self.frame)
self.doexpansion.set(1)
ckExpand = tk.Checkbutton(self.frame,
text='Expand',
onvalue=1,
offvalue=0,
variable=self.doexpansion)
ckExpand.grid(row=1, column=0, columnspan=2, sticky=tk.E)
self.scripttype = tk.IntVar(self.frame)
self.scripttype.set(1)
rbHadoop = tk.Radiobutton(self.frame,
text='Hadoop',
variable=self.scripttype,
val=0)
rbHadoop.grid(row=2, column=0, columnspan=2, sticky=tk.E)
rbMultiproc = tk.Radiobutton(self.frame,
text='Multiproc',
variable=self.scripttype,
val=1)
rbMultiproc.grid(row=3, column=0, columnspan=2, sticky=tk.E)
self.scriptconf = dict()
self.addEntry('NAME', '', self.scriptconf, 4, True)
self.addEntry('OUTDIR', '', self.scriptconf, 5, True)
self.addEntry('HOUTDIR', '', self.scriptconf, 6, True)
self.conf = Configuration()
self.confvar = dict()
for idx, (k, v) in enumerate(sorted(self.conf, key=lambda (x, y): x),
7):
self.addEntry(k, str(v), self.confvar, idx)
def experimentColfilter(poicol, resdir, city_idx=None):
"""docstring for experimentColfilter
"""
conf = Configuration()
conf['expr.target'] = poicol
conf['expr.model'] = 'ColfilterModel'
conf['cf.similarity'] = 'SparseCosineSimilarity'
conf['vec.isaccum'] = True
conf['vec.normalized'] = False
sigmahours = [1., 4., 0.25, 12., 24.]
for simnum in [100, 50, 5]:
conf['cf.simnum'] = simnum
for sigma, sigmahour in zip(map(lambda x: x * 3600., sigmahours),
sigmahours):
conf['vec.kernel.params'] = (sigma, )
if city_idx is None:
cityloop(conf, resdir, 'n%03d_s%6.2gh' % (simnum, sigmahour))
else:
run_experiment(conf, resdir,
'n%03d_s%6.2gh' % (simnum, sigmahour), city_idx)