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zhouxincheng / mnist_tfdata.py

Created December 15, 2019 09:03 — forked from datlife/mnist_tfdata.py

Training Keras model with tf.data

	"""An example of how to use tf.Dataset in Keras Model"""
	import tensorflow as tf # only work from tensorflow==1.9.0-rc1 and after

	_EPOCHS = 5
	_NUM_CLASSES = 10
	_BATCH_SIZE = 128

	def training_pipeline():
	# #############
	# Load Dataset

zhouxincheng / pagerank.py

Created November 21, 2019 10:00 — forked from diogojc/pagerank.py

python implementation of pagerank

	import numpy as np
	from scipy.sparse import csc_matrix

	def pageRank(G, s = .85, maxerr = .001):
	"""
	Computes the pagerank for each of the n states.

	Used in webpage ranking and text summarization using unweighted
	or weighted transitions respectively.

zhouxincheng / rank_metrics.py

Created October 8, 2019 08:25 — forked from bwhite/rank_metrics.py

Ranking Metrics

	"""Information Retrieval metrics

	Useful Resources:
	http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
	http://www.nii.ac.jp/TechReports/05-014E.pdf
	http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
	http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
	Learning to Rank for Information Retrieval (Tie-Yan Liu)
	"""
	import numpy as np