Sayam Kumar Sayam753

## converge.py
"""Convergence criterion callbacks for VI."""

import collections
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from typing import List, Optional
from tensorflow_probability.python.optimizer.convergence_criteria import convergence_criterion

ParameterState = collections.namedtuple("ParameterState", ["previous_value"])

## prog.ipynb

      
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                Progress bar using tf.print
              
          
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## distributions.ipynb

      
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                distributions.ipynb
              
          
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## transforms.ipynb

      
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              July 7, 2020 14:54
            
              
                A generalized version of Transformations in PyMC4
              
          
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## transforms.ipynb

      
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              July 7, 2020 08:33
            
              
                Testing transformations in PyMC4
              
          
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## advi.ipynb

      
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                Flattening and Full Rank ADVI in PyMC4
              
          
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## advi.ipynb

      
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                ADVI comparisons in PyMC3 and PyMC4
              
          
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## full_rank.ipynb

      
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                Full Rank ADVI in TFP
              
          
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## Experiments_with_Deterministics_Callbacks.ipynb

      
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                Experiments with Deterministics Callbacks
              
          
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## Experiments with Convergence_Optimizers_Tests.ipynb

      
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                / Experiments with Convergence_Optimizers_Tests.ipynb
            
            
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	"""Convergence criterion callbacks for VI."""

	import collections
	import numpy as np
	import tensorflow as tf
	import tensorflow_probability as tfp
	from typing import List, Optional
	from tensorflow_probability.python.optimizer.convergence_criteria import convergence_criterion

	ParameterState = collections.namedtuple("ParameterState", ["previous_value"])