wanghaoLisa’s gists

wanghaoLisa / sklearn-auprc.ipynb

Created July 5, 2017 10:54 — forked from agitter/sklearn-auprc.ipynb

Precision recall curves in scikit-learn with ties

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wanghaoLisa / rank_metrics.py

Created July 4, 2017 02:14 — 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

wanghaoLisa / cafe.json

Created August 15, 2016 08:50

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wanghaoLisa / airport.json

Created August 13, 2016 14:18

4parts

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wanghaoLisa / supermarket.json

Created August 12, 2016 11:20

12/08/2016

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wanghaoLisa / cafe.json

Last active August 15, 2016 09:34

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wanghaoLisa / out.json

Created August 11, 2016 08:21

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wanghaoLisa / cafe.kml

Created July 20, 2016 11:48

cafe in Melbourne

<?xml version="1.0" encoding="UTF-8"?> <kml xmlns="http://www.opengis.net/kml/2.2"      xmlns:gx="http://www.google.com/kml/ext/2.2"> <Document><name><![CDATA[2016-06-30 08-08-11_results -200]]></name><Snippet maxLines='1'>Earth Point Excel To KML</Snippet><open>1</open><Style><IconStyle><Icon></Icon></IconStyle><BalloonStyle><text><![CDATA[$[description]]]></text></BalloonStyle></Style><description><![CDATA[<table style="width: 300px;"><tr><td style="vertical-align: top;">Source</td><td style="width: 100%;">2016-06-30 08-08-11_results -200.xlsx</td></tr><tr><td>DateTime</td><td>2016-07-20 11:41:46 UTC <br/></td></tr></table><br/>&copy;2016 Earth Point<br/><a target='_blank' href='http://www.earthpoint.us'>www.earthpoint.us</a><br/><br/>For illustration only.&nbsp; User to verify all information. ]]></description><StyleMap id="Sheet1Map1"><Pair><key>normal</key><styleUrl>#NormalSheet1Map1</styleUrl></Pair><Pair><key>highlight</key><styleUrl>#HighlightSheet1Map1</styleUrl></Pair></StyleMap><Style id="NormalShe

wanghaoLisa / EarthPointExcel_053259.kml

Created July 20, 2016 05:35

kml

<?xml version="1.0" encoding="UTF-8"?> <kml xmlns="http://www.opengis.net/kml/2.2"      xmlns:gx="http://www.google.com/kml/ext/2.2"> <Document><name><![CDATA[results_add20ceil]]></name><Snippet maxLines='1'>Earth Point Excel To KML</Snippet><open>1</open><Style><IconStyle><Icon></Icon></IconStyle><BalloonStyle><text><![CDATA[$[description]]]></text></BalloonStyle></Style><description><![CDATA[<table style="width: 300px;"><tr><td style="vertical-align: top;">Source</td><td style="width: 100%;">results_add20ceil.csv</td></tr><tr><td>DateTime</td><td>2016-07-20 05:32:59 UTC <br/></td></tr></table><br/>&copy;2016 Earth Point<br/><a target='_blank' href='http://www.earthpoint.us'>www.earthpoint.us</a><br/><br/>For illustration only.&nbsp; User to verify all information. ]]></description><StyleMap id="Sheet1Map1"><Pair><key>normal</key><styleUrl>#NormalSheet1Map1</styleUrl></Pair><Pair><key>highlight</key><styleUrl>#HighlightSheet1Map1</styleUrl></Pair></StyleMap><Style id="NormalSheet1Map1"><IconStyle><scale>1</s

wanghaoLisa / normalvoronoi.py

Created July 5, 2016 01:03

	"""
	http://sciience.tumblr.com/post/101026151217/quick-python-script-for-making-voronoi-polygons
	"""
	import os, osgeo, math, numpy as np
	from osgeo import gdal, ogr, osr
	from scipy.spatial import Delaunay
	import scipy
	root = 'E:/google_places/' # directory with input point shp
	input_shp_full = root+'cafe.shp' # point shp
	fieldUID = 'Field1' # field in point shp with pt IDs

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