shravankumar147

"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3"""
import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data as mnist_data
from tensorflow.contrib import slim
from tensorflow.contrib.learn import ModeKeys
from tensorflow.contrib.learn import learn_runner


# Show debugging output

shravankumar147

http://nadbordrozd.github.io/blog/2016/05/20/text-classification-with-word2vec/
https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html
https://stackoverflow.com/questions/31321209/doc2vec-how-to-get-document-vectors
http://linanqiu.github.io/2015/10/07/word2vec-sentiment/

shravankumar147

http://nadbordrozd.github.io/blog/2016/05/20/text-classification-with-word2vec/
https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html
https://stackoverflow.com/questions/31321209/doc2vec-how-to-get-document-vectors
http://linanqiu.github.io/2015/10/07/word2vec-sentiment/
https://rare-technologies.com/doc2vec-tutorial/
https://radimrehurek.com/gensim/models/doc2vec.html#gensim.models.doc2vec.TaggedDocument
https://www.kaggle.com/tj2552/sentiment-classification-in-5-classes-doc2vec
https://github.com/ibrahimsharaf/Doc2vec

shravankumar147

shravankumar147

shravankumar147

from pyspark.sql.functions import col

from pyspark.sql.functions import sum as spark_sum

def count_null(col_name):

    return spark_sum(col(col_name).isNull().cast('integer')).alias(col_name)

# Build up a list of column expressions, one per column.

shravankumar147

from PIL import Image, ImageDraw, ImageFont
import sys

ShowText = sys.argv[1]

font = ImageFont.truetype('arialbd.ttf', 15) #load the font
size = font.getsize(ShowText)  #calc the size of text in pixels
image = Image.new('1', size, 1)  #create a b/w image
draw = ImageDraw.Draw(image)
draw.text((0, 0), ShowText, font=font) #render the text to the bitmap

shravankumar147

shravankumar147

shravankumar147