golang machine learning library

python is an object-oriented, interpretive computer programming language with a rich and powerful library, coupled with its simplicity, ease of learning, speed, open source free, portability, extensibility, and object-oriented features,python Become the most popular programming language of the 2017! AI is one of the hottest topics, and machine

Shark is a fast, modular, and rich open-source C ++ Machine Learning Library. It provides various machine learning-related technologies, such as linear/nonlinear optimization and kernel-based learning.AlgorithmAnd neural networks. Shark has been applied to multiple real-worl

When learning machine learning, we basically use MATLAB and python to write algorithms and perform tests; Recently, thanks to the use of opencv to write homework, we have taken a look at the Machine Learning Library (MLL) of openc

=NewVectorassembler (). Setinputcols (Array ("Square"). Setoutputcol ("Features") Val DataSet=assembler.transform (data) var Array (train,test)=dataset.randomsplit (Array (0.8,0.2), 1234L) Train.show () println (Test.count ()) var regression=NewLinearregression (). Setmaxiter () Setregparam (0.3). Setelasticnetparam (0.8) Val Model=regression.setlabelcol ("Price"). Setfeaturescol ("Features"). Fit (train) model.transform (test). Show () Val s=model.summary.totalIterations println (s"ITER: ${s}")

Forest 40g Maximum entropy 40g Decision Tree 40g BAGGING 40g Svm 20% Experiment two (code file Sentiment_analyse. R):Data file: http:///sentiment/data/Classification using Bayes, MAXENT, SVM, Slda, BAGGING, RF, tree classifierThe results are as follows: Classifier Name Accuracy rate (R) Accuracy rate (spark) Bayesian 65% 85D Random Forest

!accuracy:87.07%******************* SVM ********************Training took3831. 564000s!accuracy:94.35%******************* GBDT ********************In this data set, because the cluster of data distribution is better (if you understand this database, see its T-sne map can be seen.) Since the task is simple, it has been considered a toy dataset in the deep learning boundary, so KNN has a good effect. GBDT is a very good algorithm, in Kaggle and other bi

Python Machine Learning Library sciki-earn practice, pythonsciki-earn Use Anaconda's spyder: Create train_test.py #!usr/bin/env python #-*- coding: utf-8 -*- import sys import os import time from sklearn import metrics import numpy as np import cPickle as pickle reload(sys) sys.setdefaultencoding('utf8') # Multinomial Naive Bayes Classifier def n

sklearn.neighbors import Kneig Hborsclassifier import time if __name__ = = "__main__": train_num = 20000 Test_num = 30000 data = Pd.read_csv (' Train.csv ') Train_data = data.values[0:train_num,1:] Train_label = data.values[0:train_num,0] Test_data = data . values[train_num:test_num,1:] Test_label = data.values[train_num:test_num,0] t = time.time () Pca=PCA (n_compo nents = 0.8) train_x = Pca.fit_transform (train_data) test_x = Pca.transform (test_data) neighbors = KNeighborsC Lassifier (n_neig

Installation sudo yum install NumPy From numpy Import * Produces an array Random.rand (4,5) Result Array ([[0.79056842, 0.31659893, 0.34054779, 0.97328131, 0.32648329], [0.51585845, 0.70683055, 0.31476985, 0.07952725, 0.80907845], [0.81623517, 0.61038487, 0.66679161, 0.77412742, 0.03394483], [0.41758993, 0.54425978, 0.65350633, 0.90397197, 0.72706079]]) Produce a matrix >>> Randmat=mat (Random.rand (bis)) >>> randmat.i Matrix ([[[1.72265179, 0.82071484, 0.8218207,-3.20005387], [0.60602642,-1.28

Shark is a fast, modular, feature-rich, open-source C + + machine learning Library. It realizes linear and nonlinear optimization, learning algorithm based on kernel function, neural network and many other machine learning algorit

are slightly different, and many very small elements are left in the matrix, which results from the computer processing error. Enter the following command to get the error value:>>> MyEye = Randmat*invrandmat>>> Myeye-eye (4)Matrix ([[ 0.00000000e+00, -4.44089210e-16, -4.44089210e-16, -3.33066907E-16], [ -8.88178420e-16, 2.22044605e-16, 0.00000000e+00, 5.55111512E-17], [ 4.44089210e-16, 0.00000000e+00, 0.00000000e+00, -5.55111512E-17],

PrefaceThis is my blog park the first article, write not in place, I hope you guys understand.I have been engaged. NET development work, recently in learning Golang, so think about the process of learning before not how to properly record the learning process. Deeply sorry!Now will

Golang Learning Note 19 using Golang to implement Ethereum token transfer In the Ethereum blockchain, we call tokens tokens, which are digital assets that everyone in the Ethereum blockchain can freely distribute. And it must follow the ERC20 standard, as for the ERC20 standard, you can refer to this article Https://theethereum.wiki/w/index.php/ERC20_Token_

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust

Preface: "The foundation determines the height, not the height of the foundation!" The book mainly from the coding program, data structure, mathematical theory, data processing and visualization of several aspects of the theory of machine learning, and then extended to the probability theory, numerical analysis, matrix analysis and other knowledge to guide us into the world of

This is a creation in Article, where the information may have evolved or changed. This article goes from Golove Blog: http://www.cnblogs.com/golove/p/3274321.html Golang Learning Resources: Learning Go Language-books http://www.mikespook.com/learning-go/ Go Getting Started Guide-books Https://github.com/Unknwon/the-w

technologies based on Goroutine on-line. This is really a very attractive place to create a process is very simple, the cost of only 4kb of stack memory to create. It is important to note that the specific run is concurrency, run parallel to use the GOMAXPROCS variable Support cross-compilation, you can compile Linux applications under Windows Built-in powerful tools, debugging and Code specification tools The rich standard library, especial

, eliminate big", we are "see Code, copy code, and finally write code." Here are a few entry-level code to see how to learn: Web.go-quickstart is very simple, is to learn how his routes are implemented, how to write their own routes Icub3d/home Road GitHub This is a go+ ANGULARJS implementation, see How to Do API application Finally, I listed you can refer to the implementation of some of the functions, I originally trained our fight Tiger class students are using these to study t

, eliminate big", we are "see Code, copy code, and finally write code." Here are a few entry-level code to see how to learn: Web.go-quickstart is very simple, is to learn how his routes are implemented, how to write their own routes Icub3d/home Road GitHub This is a go+ ANGULARJS implementation, see How to Do API application Finally, I listed you can refer to the implementation of some of the functions, I originally trained our fight Tiger class students are using these to study t

This is a creation in Article, where the information may have evolved or changed. Today began to enter the Golang language learning, Golang language installation and testing is no longer explained here. There is a lot of information on the network to reference. Learning Golang