def fit(self, model_args):
seeds = [171204, 402711, 711270, 201714, 141702]
ve, te = [], []
for _ in range(self.run_times):
log('run_times#{}/{}, seed: {}'.format(_ + 1, self.run_times,
seeds[_]))
np.random.seed(seeds[_])
self.init_model_args(model_args)
self.model = self.make_model()
_ve, _te = self._fit()
ve.append(_ve)
te.append(_te)
msg = 'vali: {}, test: {}'.format(_ve, _te)
log(msg)
return Eva.mean(ve), Eva.mean(te)
def __init__(self):
self.newDialog = QtWidgets.QMainWindow()
self.new_screen = New()
self.new_screen.setupUi(self.newDialog)
self.EvaluateWindow = QtWidgets.QMainWindow()
self.eval_screen = Eva()
self.eval_screen.setupUi(self.EvaluateWindow)
self.openDialog = QtWidgets.QMainWindow()
self.open_screen = Open()
self.open_screen.setupUi(self.openDialog)
def __init__(self): # linking files and creating objects self.new_Window = QtWidgets.QMainWindow() self.new_screen = New() self.new_screen.setupUi(self.new_Window) self.evaluate_Window = QtWidgets.QMainWindow() self.eval_screen = Eva() self.eval_screen.setupUi(self.evaluate_Window) self.open_Window = QtWidgets.QMainWindow() self.open_screen = Open() self.open_screen.setupUi(self.open_Window)
def __init__(self):
#NEW
self.newDialog = QtWidgets.QMainWindow()
self.new_screen = New()
self.new_screen.setupUi(self.newDialog)
#EVALUATE
self.EvaluateWindow = QtWidgets.QMainWindow()
self.eval_screen = Eva()
self.eval_screen.setupUi(self.EvaluateWindow)
#OPEN
self.openDialog = QtWidgets.QMainWindow()
self.open_screen = Open()
self.open_screen.setupUi(self.openDialog)
def evaluate(self, x, y=None):
if y is None:
if type(x) == str:
x = eval('self.data.' + x)
x, y = x.x, x.y
return Eva(self.predict(x), y)