Sarthak Mittal naiveHobo

## sparse_model.py
import numpy as np
import tensorflow.compat.v2 as tf

class Sparse(tf.keras.layers.Dense):
  def call(self, inputs):
    outputs = tf.sparse.sparse_dense_matmul(inputs, self.kernel)
    if self.use_bias:
      outputs = tf.nn.bias_add(outputs, self.bias)
    return outputs

## TelcoChurnAnalysis.ipynb

      
        
          
            
              
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                naiveHobo
                / TelcoChurnAnalysis.ipynb
            
            
              Created
              August 24, 2018 12:34
            
              
                Analysis of Telco Customer Churn data
              
          
        
      
        
  
    
    

          
    
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	import numpy as np
	import tensorflow.compat.v2 as tf

	class Sparse(tf.keras.layers.Dense):
	def call(self, inputs):
	outputs = tf.sparse.sparse_dense_matmul(inputs, self.kernel)
	if self.use_bias:
	outputs = tf.nn.bias_add(outputs, self.bias)
	return outputs