Ejemplo n.º 1
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class Test(object):

    blank = Hyperparameter(name="some-name", data_type=int)
    elizabeth = Hyperparameter(name="elizabeth")
    validated = Hyperparameter(name="validated",
                               validate=lambda value: value > 55,
                               data_type=int)
Ejemplo n.º 2
0
class Test(object):

    blank = Hyperparameter(name='some-name', data_type=int)
    elizabeth = Hyperparameter(name='elizabeth')
    validated = Hyperparameter(name='validated',
                               validate=lambda value: value > 55,
                               data_type=int)
 def hyperparameters(self):
     return hp.serialize_all(self)
 def hyperparameters(self):
     return hp.serialize_all(self)
 def hyperparameters(self):
     """Placeholder docstring"""
     return hp.serialize_all(self)
Ejemplo n.º 6
0
 def hyperparameters(self):
     """Return the SageMaker hyperparameters for training this KMeans Estimator"""
     hp = dict(force_dense='True'
               )  # KMeans requires this hp to fit on Record objects
     hp.update(super(KMeans, self).hyperparameters())
     return hp
Ejemplo n.º 7
0
 def hyperparameters(self):
     """Return the SageMaker hyperparameters for training this KMeans Estimator"""
     hp = dict(force_dense='True')  # KMeans requires this hp to fit on Record objects
     hp.update(super(KMeans, self).hyperparameters())
     return hp
class Test(object):

    blank = Hyperparameter(name="some-name")
    elizabeth = Hyperparameter(name='elizabeth')
    validated = Hyperparameter(name="validated",
                               validate=lambda value: value > 55)
 def hyperparameters(self):
     """Return the SageMaker hyperparameters for training this ImageClassification Estimator"""
     hp = dict()
     hp.update(super(ImageClassification, self).hyperparameters())
     return hp