def test_transform_serde():
transform = skil.Transform('iris_tp.json', 'baz')
transform.save('transform.json')
recov = skil.Transform.load('transform.json')
assert recov.get_config() == transform.get_config()
def test_transform_by_id():
ws = _get_ws()
exp = skil.Experiment(ws, name='test_transform')
transform = skil.Transform('iris_tp.json')
transform_id = transform.id
tf_2 = skil.get_transform_by_id(transform_id, "CSV", exp)
assert tf_2.name == transform.name
def test_transform_creation_2():
sk = skil.Skil()
work_space = skil.WorkSpace(sk)
exp = skil.Experiment(work_space)
transform = skil.Transform('iris_tp.json', experiment=exp)
transform.add_evaluation(0.42)
work_space.delete()
exp.delete()
transform.delete()
def test_transform_service_creation():
ws = _get_ws()
exp = skil.Experiment(ws)
model = skil.Transform('iris_tp.json', experiment=exp)
dep = skil.Deployment(ws.skil)
model.deploy(dep)
def test_transform_creation_2():
ws = _get_ws()
exp = skil.Experiment(ws)
model = skil.Transform('iris_tp.json', experiment=exp)
def test_transform_creation_1():
model = skil.Transform('iris_tp.json')
import skil
import numpy as np
skil_server = skil.Skil()
work_space = skil.WorkSpace(skil_server)
experiment = skil.Experiment(work_space)
transform = skil.Transform(transform='iris_tp.json', experiment=experiment)
model = skil.Model(model='iris_model.h5', experiment=experiment)
deployment = skil.Deployment(skil_server)
pipeline = skil.Pipeline(deployment, model, transform)
with open('iris.data', 'r') as f:
data = np.array(f.readlines())
print(pipeline.predict(data))
def test_transform_creation_1():
transform = skil.Transform('iris_tp.json')
transform.delete()
def test_transform_deletion():
transform = skil.Transform('iris_tp.json')
transform.delete()