Bill Vander Lugt BillVanderLugt
BillVanderLugt
/ rank_metrics.py
Created
March 8, 2018 19:08
— forked from bwhite/rank_metrics.py
Ranking Metrics
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| """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 |
BillVanderLugt
/ _tsne.pdf
Created
May 30, 2017 19:12
— forked from kylemcdonald/_tsne.pdf
Exploring antonyms with word2vec.
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BillVanderLugt
/ ExplicitMF.py
Created
May 26, 2017 05:17
— forked from EthanRosenthal/ExplicitMF.py
Class for training explicit matrix factorization model using either ALS or SGD
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| class ExplicitMF(): | |
| def __init__(self, | |
| ratings, | |
| n_factors=40, | |
| learning='sgd', | |
| item_fact_reg=0.0, | |
| user_fact_reg=0.0, | |
| item_bias_reg=0.0, | |
| user_bias_reg=0.0, | |
| verbose=False): |
BillVanderLugt
/ pmf-and-modified-bpmf-pymc.py
Created
May 26, 2017 02:18
— forked from macks22/pmf-and-modified-bpmf-pymc.py
Probabilistic Matrix Factorization (PMF) + Modified Bayesian BMF
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| """ | |
| Implementations of: | |
| Probabilistic Matrix Factorization (PMF) [1], | |
| Bayesian PMF (BPMF) [2], | |
| Modified BPFM (mBPMF) | |
| using `pymc3`. mBPMF is, to my knowledge, my own creation. It is an attempt | |
| to circumvent the limitations of `pymc3` w/regards to the Wishart distribution: |