Ryan Hill ryan-hill
gakuba
/ metrics.py
Last active
July 16, 2018 23:32
module to display roc_au of multilabel classifier
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| from sklearn.metrics import roc_curve, auc | |
| from scipy import interp | |
| from itertools import cycle | |
| def roc_auc(y_test, y_score, n_classes): | |
| """Plots ROC curve for micro and macro averaging.""" | |
| # Compute ROC curve and ROC area for each class |
gakuba
/ MultiLabelClassification-with-nltk.ipynb
Last active
April 1, 2020 16:11
In this Tutorial, I explain how to do Multi label classification of texts using nltk
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
debboutr
/ walk_up.py
Last active
October 19, 2017 16:50
recursive function to walk up flow table. NOTE: this will not handle braided flowlines!
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| from StreamCat_functions import dbf2DF | |
| pre = 'D:/NHDPlusV21/NHDPlusGL/NHDPlus04' | |
| fline = dbf2DF('D%s/NHDSnapshot/Hydrography/NHDFlowline.dbf' % pre) | |
| flow = dbf2DF('%s/NHDPlusAttributes/PlusFlow.dbf' pre)[['TOCOMID','FROMCOMID']] | |
| def recurs(val, ups): | |
| print val | |
| ups = ups + flow.ix[flow.TOCOMID == val].FROMCOMID.tolist() | |
| if 0 in ups: |
mhweber
/ SpatialLinesEndPoints.R
Created
February 1, 2016 21:23
Function to build a spatial points data frame of end nodes using a spatial lines data frame - function is a modification of SpatialLinesMidPoints in the R maptools package.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| SpatialLinesEndPoints = function(sldf){ | |
| Lns <- slot(sldf, "lines") | |
| hash_lns <- sapply(Lns, function(x) length(slot(x, "Lines"))) | |
| N <- sum(hash_lns) | |
| endpoints <- matrix(NA, ncol = 2, nrow = N) | |
| Ind <- integer(length = N) | |
| ii <- 1 | |
| for (i in 1:length(Lns)) { | |
| Lnsi <- slot(Lns[[i]], "Lines") | |
| for (j in 1:hash_lns[i]) { |
ryan-hill
/ float2int.py
Created
October 14, 2015 00:35
— forked from bryanluman/float2int.py
Converting a large DEM with rasterio
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import rasterio | |
| """ | |
| 2014-02-13 | |
| Bryan Luman | |
| Use it however you like at your own risk | |
| Problem: | |
| I have a huge DEM converted from LiDAR LAS points. I'd like to make it slightly |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Create data frame 1 | |
| x = c("ID1","ID2","ID3","ID4","ID5") | |
| y = c("C1","C2","C3","C4","C5") | |
| d1 = data.frame("SiteID" = x, "Value" = y) | |
| d1 | |
| # Create lookup table | |
| x = c("ID2","ID5") | |
| y = c("C5","C2") | |
| lookup = data.frame("SiteID" = x, "Value" = y) | |
| lookup |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import rasterio | |
| """ | |
| 2014-02-13 | |
| Bryan Luman | |
| Use it however you like at your own risk | |
| Problem: | |
| I have a huge DEM converted from LiDAR LAS points. I'd like to make it slightly |