Xiang Deng xiang-deng
xiang-deng
/ select.html
Last active
October 3, 2025 23:03
html showing the usage of <select> element
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Select Field Demo</title> | |
| <style> | |
| .menu { | |
| position: relative; | |
| display: inline-block; |
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| def numpy_describe(array): | |
| print('count', len(array)) | |
| print('min',np.min(array)) | |
| print('max',np.max(array)) | |
| print('mean',np.mean(array)) | |
| print('std',np.std(array)) | |
| print('10%',np.percentile(array,10)) | |
| print('25%',np.percentile(array,25)) | |
| print('50%',np.percentile(array,50)) | |
| print('60%',np.percentile(array,60)) |
xiang-deng
/ rank_metrics.py
Created
October 2, 2019 18:24
— 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 |
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| import numpy as np | |
| import json | |
| import pickle | |
| from tensorflow.python import pywrap_tensorflow | |
| from tensorflow.python.platform import app | |
| from tensorflow.python.platform import flags | |
| import pdb | |
| import argparse |