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jayelm / transactions
Last active August 29, 2015 13:57
Bitcoin Transactions History CSV
date,transactions
2009-01-03,1
2009-01-04,0
2009-01-05,0
2009-01-06,0
2009-01-07,0
2009-01-08,0
2009-01-09,14
2009-01-10,31
2009-01-11,106
@jayelm
jayelm / bitcoin
Created March 24, 2014 06:44
bitcoin_transactions
date,transactions,symbol
01/03/2009,1,SPY
01/04/2009,0,SPY
01/05/2009,0,SPY
01/06/2009,0,SPY
01/07/2009,0,SPY
01/08/2009,0,SPY
01/09/2009,14,SPY
01/10/2009,31,SPY
01/11/2009,106,SPY
@jayelm
jayelm / bitcoin_transactions.csv
Created March 24, 2014 06:48
bitcoin_transactions
date symbol transactions
1/3/2009 SPY 1
1/4/2009 SPY 0
1/5/2009 SPY 0
1/6/2009 SPY 0
1/7/2009 SPY 0
1/8/2009 SPY 0
1/9/2009 SPY 14
1/10/2009 SPY 31
1/11/2009 SPY 106
@jayelm
jayelm / buttondown.css
Created October 13, 2015 02:33 — forked from ryangray/buttondown.css
A clean, minimal CSS stylesheet for Markdown, Pandoc and MultiMarkdown HTML output.
/*
Buttondown
A Markdown/MultiMarkdown/Pandoc HTML output CSS stylesheet
Author: Ryan Gray
Date: 15 Feb 2011
Revised: 21 Feb 2012
General style is clean, with minimal re-definition of the defaults or
overrides of user font settings. The body text and header styles are
left alone except title, author and date classes are centered. A Pandoc TOC
@jayelm
jayelm / vmeasure.R
Last active May 16, 2018 15:47
V-Measure (Rosenberg, 2007) Implementation in R. This almost exactly follows scikit-learn's implementation (http://scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html)
library(infotheo)
v.measure <- function(a, b) {
mi <- mutinformation(a, b)
entropy.a <- entropy(a)
entropy.b <- entropy(b)
if (entropy.a == 0.0) {
homogeneity <- 1.0
} else {
homogeneity <- mi / entropy.a
@jayelm
jayelm / clustercounter.py
Last active October 11, 2016 14:50
Convenient Cluster Counter
"""
Neat wrapper around a autoincrementing defaultdict. Most useful for assigning
unique numbers to unseen examples while clustering, but probably has other uses
as well.
Example usage
In [1]: cc = ClusterCounter()
In [2]: cc['setosa']
@jayelm
jayelm / explanations.CONTACT.1.embs.tsv
Created February 4, 2019 22:53
We can't make this file beautiful and searchable because it's too large.
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@jayelm
jayelm / explanations.tsv
Last active February 4, 2019 23:16
explanation is_heldout
from amy@initech-corp.com False
from igor@initech-corp.com False
from john@initech-corp.com False
from mary@initech-corp.com False
from mike@initech-corp.com False
! is used False
coffee is used False
festival is used False
meet up is used False
@jayelm
jayelm / explanations.untrained.CONTACT.1.embs.tsv
Created February 4, 2019 23:06
We can't make this file beautiful and searchable because it's too large.
0.164774 0.187791 -0.131299 0.993267 -0.416966 0.033960 0.419105 0.187504 0.066782 0.665488 0.025184 -0.008034 0.029332 0.176970 -0.044142 -0.093475 0.225013 0.575576 -0.227436 -0.411197 0.297845 0.181617 0.039377 0.121431 -0.367486 -0.116069 0.482964 -0.026578 0.032461 -0.089207 0.128192 0.234638 -0.206866 0.069460 -0.119355 0.221972 -0.019061 -0.020051 0.304974 0.074571 0.125557 0.456757 0.013005 0.045541 -0.372146 0.163087 -0.289012 0.156688 -0.086266 -0.313922 -0.101044 0.371096 -0.190387 -0.142513 -0.281456 0.054664 0.212146 0.493715 0.309555 -0.026499 0.338488 0.335129 0.046711 -0.026531 0.786381 0.440620 -0.274265 -0.275056 0.271499 -0.086399 -0.285385 0.247016 -0.273882 0.186570 -0.095521 -0.728028 0.494695 -0.161679 0.083163 -0.214479 0.685633 0.074415 0.553963 -0.202995 0.256899 -0.271948 0.211317 -0.578751 -0.221827 -0.428904 0.034738 -0.203083 0.093217 0.094973 -0.320172 -0.081616 0.074687 -0.460855 -0.165996 0.440688 0.060450 -0.104874 -0.039443 -0.281879 -0.125332 -0.285776 0.259326 0.633879 0.5
@jayelm
jayelm / explanation_embeddings_config.json
Last active February 4, 2019 23:16
{
"embeddings": [
{
"tensorName": "explanations_trained",
"tensorShape": [182, 300],
"tensorPath": "https://gist.githubusercontent.com/jayelm/17a3408ebd8476c074038ff45f417866/raw/60850b33f29215f8c60d3f756a7fe72847312288/explanations.CONTACT.1.embs.tsv",
"metadataPath": "https://gist.githubusercontent.com/jayelm/e1090d69997657bc50a80c9e8b62faad/raw/402da61f7506534b2c6098f26b6e0bd4c8e92621/explanations.tsv"
},
{
"tensorName": "explanations_untrained",