Fixing new pylint errors.
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5 changed files with 61 additions and 63 deletions
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@ -180,7 +180,7 @@ class BoltonModel(Model): # pylint: disable=abstract-method
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n_samples=None,
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n_samples=None,
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steps_per_epoch=None,
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steps_per_epoch=None,
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**kwargs): # pylint: disable=arguments-differ
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**kwargs): # pylint: disable=arguments-differ
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"""Fit with a generator..
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"""Fit with a generator.
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This method is the same as fit except for when the passed dataset
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This method is the same as fit except for when the passed dataset
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is a generator. See super method and fit for more details.
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is a generator. See super method and fit for more details.
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@ -175,12 +175,12 @@ class InitTests(keras_parameterized.TestCase):
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},
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},
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])
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])
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def test_compile(self, n_outputs, loss, optimizer):
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def test_compile(self, n_outputs, loss, optimizer):
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"""test compilation of BoltonModel.
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"""Test compilation of BoltonModel.
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Args:
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Args:
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n_outputs: number of output neurons
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n_outputs: number of output neurons
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loss: instantiated TestLoss instance
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loss: instantiated TestLoss instance
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optimizer: instanced TestOptimizer instance
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optimizer: instantiated TestOptimizer instance
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"""
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"""
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# test compilation of valid tf.optimizer and tf.loss
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# test compilation of valid tf.optimizer and tf.loss
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with self.cached_session():
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with self.cached_session():
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@ -206,7 +206,7 @@ class InitTests(keras_parameterized.TestCase):
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Args:
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Args:
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n_outputs: number of output neurons
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n_outputs: number of output neurons
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loss: instantiated TestLoss instance
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loss: instantiated TestLoss instance
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optimizer: instanced TestOptimizer instance
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optimizer: instantiated TestOptimizer instance
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"""
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"""
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# test compilaton of invalid tf.optimizer and non instantiated loss.
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# test compilaton of invalid tf.optimizer and non instantiated loss.
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with self.cached_session():
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with self.cached_session():
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@ -505,7 +505,6 @@ class FitTests(keras_parameterized.TestCase):
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'num_classes': 2,
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'num_classes': 2,
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'err_msg': 'Detected array length:'},
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'err_msg': 'Detected array length:'},
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])
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])
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def test_class_errors(self,
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def test_class_errors(self,
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class_weights,
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class_weights,
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class_counts,
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class_counts,
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@ -516,10 +515,10 @@ class FitTests(keras_parameterized.TestCase):
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This test passes invalid params which should raise the expected errors.
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This test passes invalid params which should raise the expected errors.
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Args:
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Args:
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class_weights: the class_weights to use
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class_weights: the class_weights to use.
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class_counts: count of number of samples for each class
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class_counts: count of number of samples for each class.
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num_classes: number of outputs neurons
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num_classes: number of outputs neurons.
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err_msg:
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err_msg: The expected error message.
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"""
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"""
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clf = models.BoltonModel(1, 1)
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clf = models.BoltonModel(1, 1)
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with self.assertRaisesRegexp(ValueError, err_msg): # pylint: disable=deprecated-method
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with self.assertRaisesRegexp(ValueError, err_msg): # pylint: disable=deprecated-method
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@ -310,8 +310,7 @@ class Bolton(optimizer_v2.OptimizerV2):
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Args:
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Args:
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noise_distribution: the noise distribution to pick.
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noise_distribution: the noise distribution to pick.
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see _accepted_distributions and get_noise for
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see _accepted_distributions and get_noise for possible values.
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possible values.
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epsilon: privacy parameter. Lower gives more privacy but less utility.
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epsilon: privacy parameter. Lower gives more privacy but less utility.
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layers: list of Keras/Tensorflow layers. Can be found as model.layers
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layers: list of Keras/Tensorflow layers. Can be found as model.layers
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class_weights: class_weights used, which may either be a scalar or 1D
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class_weights: class_weights used, which may either be a scalar or 1D
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