Python Hyperparameter Examples

Example #1

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)

Example #2

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)

Example #3

File: amazon_estimator.py Project: seahyinghang8/sagemaker-python-sdk

 def hyperparameters(self):
     return hp.serialize_all(self)

Example #4

File: amazon_estimator.py Project: duasahil8/sagemaker-python-sdk

 def hyperparameters(self):
     return hp.serialize_all(self)

Example #5

File: amazon_estimator.py Project: nadia-el/sagemaker-python-sdk

 def hyperparameters(self):
     """Placeholder docstring"""
     return hp.serialize_all(self)

Example #6

File: kmeans.py Project: getglad/sagemaker-python-sdk

 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

Example #7

File: kmeans.py Project: cheesama/sagemaker-python-sdk

 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

Example #8

File: test_hyperparameter.py Project: tristaneljed/sagemaker-python-sdk

class Test(object):

    blank = Hyperparameter(name="some-name")
    elizabeth = Hyperparameter(name='elizabeth')
    validated = Hyperparameter(name="validated",
                               validate=lambda value: value > 55)

Example #9

File: image_classification.py Project: ragavvenkatesan/sagemaker-python-sdk

 def hyperparameters(self):
     """Return the SageMaker hyperparameters for training this ImageClassification Estimator"""
     hp = dict()
     hp.update(super(ImageClassification, self).hyperparameters())
     return hp