def goodbye():
z = Session()
return pickle.dumps(10)
z = range(10)
def hello(x):
y = 100
q = goodbye()
t = MyClass()
x = "%s %d" % (t.hello(10), sum(z) * y)
return t.hello(x)
from save_session import save_function
iris = load_iris()
clf = SVC()
clf.fit(iris.data, iris.target)
def pred(data):
return clf.predict(load_iris().data)
##### #####
##### This is the actual process #####
##### #####
save_function(pred, globals())
save_function(goodbye, globals())
z = range(10)
def hello(x):
y = 100
q = goodbye()
t = MyClass()
x = "%s %d" % (t.hello(10), sum(z) * y)
return t.hello(x)
from save_session import save_function
iris = load_iris()
clf = SVC()
clf.fit(iris.data, iris.target)
def pred(data):
print again(100)
return clf.predict(load_iris().data)
##### #####
##### This is the actual process #####
##### #####
import json
print json.dumps(save_function(pred, globals()))
def goodbye():
z = Session()
return pickle.dumps(10)
z = range(10)
def hello(x):
y = 100
q = goodbye()
t = MyClass()
x = "%s %d" % (t.hello(10), sum(z) * y)
return t.hello(x)
from save_session import save_function
iris = load_iris()
clf = SVC()
clf.fit(iris.data, iris.target)
def pred(data):
print again(100)
return clf.predict(load_iris().data)
##### #####
##### This is the actual process #####
##### #####
import json
print json.dumps(save_function(pred, globals()))
