Nitin Solanki nitinmlvya

## export_tf_model.py
import os
import tensorflow as tf

trained_checkpoint_prefix = 'checkpoints/dev'
export_dir = os.path.join('models', '0') # IMPORTANT: each model folder must be named '0', '1', ... Otherwise it will fail!

loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
    # Restore from checkpoint
    loader = tf.train.import_meta_graph(trained_checkpoint_prefix + '.meta')

## Numpy.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                nitinmlvya
                / Numpy.ipynb
            
            
              Created
              April 11, 2020 09:20
            
              
                Numpy for Data Science
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## Dojo 1.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                nitinmlvya
                / Dojo 1.ipynb
            
            
              Created
              July 23, 2019 16:04
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## Feature Engineering & Model Evaluation .ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                nitinmlvya
                / Feature Engineering & Model Evaluation .ipynb
            
            
              Last active
              May 30, 2019 09:03
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## Data Understanding.ipynb

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                nitinmlvya
                / Data Understanding.ipynb
            
            
              Last active
              May 29, 2019 05:40
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## etl.py
import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job

args = getResolvedOptions(sys.argv, ['TempDir','JOB_NAME'])

## Initialize the GlueContext and SparkContext
	import os
	import tensorflow as tf

	trained_checkpoint_prefix = 'checkpoints/dev'
	export_dir = os.path.join('models', '0') # IMPORTANT: each model folder must be named '0', '1', ... Otherwise it will fail!

	loaded_graph = tf.Graph()
	with tf.Session(graph=loaded_graph) as sess:
	# Restore from checkpoint
	loader = tf.train.import_meta_graph(trained_checkpoint_prefix + '.meta')
	import sys
	from awsglue.transforms import *
	from awsglue.utils import getResolvedOptions
	from pyspark.context import SparkContext
	from awsglue.context import GlueContext
	from awsglue.job import Job

	args = getResolvedOptions(sys.argv, ['TempDir','JOB_NAME'])

	## Initialize the GlueContext and SparkContext