def rf_model_old(source, target):
def df2thing(dframe):
dframe.to_csv('temp.csv', index=False)
new_thing = createTbl(['temp.csv'], isBin=True)
os.remove('temp.csv')
return new_thing
train = df2thing(source)
test = df2thing(target)
return rforest(train, test)
def rf_model_old(source, target):
def df2thing(dframe):
dframe.to_csv('temp.csv', index=False)
new_thing = createTbl(['temp.csv'], isBin=True)
os.remove('temp.csv')
return new_thing
train = df2thing(source)
test = df2thing(target)
return rforest(train, test)
def rf_model0(source, target):
train = df2thing(source)
test = df2thing(target)
return rforest(train, test, tunings=None)
def rf_model0(source, target, name):
train = df2thing(source)
test = df2thing(target)
return rforest(train, test, tunings=getTunings(name))
def rf_model0(source, target):
train = df2thing(source)
test = df2thing(target)
return rforest(train, test, tunings=None)
def rf_model0(source, target):
train = df2thing(source)
test = df2thing(target)
return rforest(train, test, smote=False)
def rf_model0(source, target):
train = df2thing(source)
test = df2thing(target)
return rforest(train, test, smote=False)