示例#1
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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()
示例#2
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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
示例#3
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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()
示例#4
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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)
示例#5
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def test_transform_creation_2():
    ws = _get_ws()
    exp = skil.Experiment(ws)
    model = skil.Transform('iris_tp.json', experiment=exp)
示例#6
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def test_transform_creation_1():
    model = skil.Transform('iris_tp.json')
示例#7
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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))
示例#8
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def test_transform_creation_1():
    transform = skil.Transform('iris_tp.json')
    transform.delete()
示例#9
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def test_transform_deletion():
    transform = skil.Transform('iris_tp.json')
    transform.delete()