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@codekansas
codekansas / keras_gensim_embeddings.py
Last active July 23, 2018 09:17
Using Word2Vec embeddings in Keras models
from __future__ import print_function
import json
import os
import numpy as np
from gensim.models import Word2Vec
from gensim.utils import simple_preprocess
from keras.engine import Input
from keras.layers import Embedding, merge
@chebee7i
chebee7i / multinomialci.py
Created June 8, 2015 16:27
Multinomial Confidence Intervals
from __future__ import division
import numpy as np
def multinomial_ci(counts, alpha):
"""
Calculate a simultaneous (1-alpha) * 100 percent confidence interval.
Parameters
----------
@bwhite
bwhite / rank_metrics.py
Created September 15, 2012 03:23
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