kraken:是一个将分类标签打到短DNAreads上的分类序列器.…

Natural Language Processing with Python Charpter 6.1 import nltk from nltk.corpus import brown def pos_features(sentence,i,history): features = {"suffix(1)":sentence[i][-1:], "suffix(2)":sentence[i][-2:], "suffix(3)":sentence…

MNIST fetch_openml returns the unsorted MNIST dataset, whereas fetch_mldata() returned the dataset sorted by target (the training set and the test set were sorted separately). import numpy as np def sort_by_target(mnist): reorder_train = np.array(sor…

Abstract A cataract is lens opacification caused by protein denaturation which leads to a decrease in vision and even results in complete blindness at later stages. The concept of a classification system of automatic cataract detecting based on retin…

原文:http://googleresearch.blogspot.jp/2010/04/lessons-learned-developing-practical.html Lessons learned developing a practical large scale machine learning system Tuesday, April 06, 2010 Posted by Simon Tong, Google Research When faced with a hard pre…

整理摘自 https://datascience.stackexchange.com/questions/15989/micro-average-vs-macro-average-performance-in-a-multiclass-classification-settin/16001 Micro- and macro-averages (for whatever metric) will compute slightly different things, and thus their i…

[20190530]ORACLE 18c - ALTER SEQUENCE RESTART.txt --//以前遇到要重置或者调整seq比较麻烦,我有时候采用比较粗暴的方式就是删除重建.--//18c提供方式重置,自己测试看看. 1.环境:SYSTEM@xxxxxx> select BANNER from v$version;BANNER----------------------------------------------------------------------Oracle Dat…

8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset by Jason Brownlee on August 19, 2015 in Machine Learning Process Has this happened to you? You are working on your dataset. You create a classification model and get 90% accuracy…

分类看起来比聚类和推荐麻烦多了 分类算法与聚类和推荐算法的不同:必须是有明确结果的,必须是有监督的,主要用于预测和检测 Mahout的优势 mahout的分类算法对资源的要求不会快于训练数据和测试数据的增长速度,而且可以转换为分布式应用(数据规模如果不够大 Mahout表现可能不及其他类型的系统) 关键词表: Key idea Description Model A computer program that makes decisions; in classification, the out…

自然语言处理(NLP)是人工智能研究中极具挑战的一个分支.随着深度学习等技术的引入,NLP领域正在以前所未有的速度向前发展.但对于初学者来说,这一领域目前有哪些研究和资源是必读的?最近,Kyubyong Park 为我们整理了一份完整列表. GitHub 项目链接:https://github.com/Kyubyong/nlp_tasks 本人从事自然语言处理任务(NLP)的研究已经有很长时间了,有一天我想到,我需要为庞大的 NLP领域做一个概览,我知道自己肯定不是想要一睹 NLP 任务的全貌的…