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fabianp
/ frank_wolfe.py
Created
March 19, 2018 18:40
Python implementation of the Frank-Wolfe algorithm
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| import numpy as np | |
| from scipy import sparse | |
| # .. for plotting .. | |
| import pylab as plt | |
| # .. to generate a synthetic dataset .. | |
| from sklearn import datasets | |
| n_samples, n_features = 1000, 10000 | |
| A, b = datasets.make_regression(n_samples, n_features) |
jkeirstead
/ data.csv
Last active
March 11, 2018 00:17
Draw waterfall charts in R. See post at http://www.jameskeirstead.ca/blog/waterfall-plots-in-r
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| category | value | sector | |
|---|---|---|---|
| UK production emissions | 632 | UK | |
| Carbon flows from EU | 88 | EU | |
| Carbon flows to EU | -61 | EU | |
| Carbon flows from other Annex 1 | 82 | Annex 1 | |
| Carbon flows to other Annex 1 | -39 | Annex 1 | |
| Carbon flows from non-Annex 1 | 104 | Other non-Annex 1 | |
| Carbon flows from non-Annex 1 | 64 | China | |
| Carbon flows to non-Annex 1 | -25 | Non-Annex 1 | |
| UK consumption emissions | 845 | UK |