Scarlett的博客

nn_data.txt数据6.5 4 17.5 4.5 12 0.5 04 1 01 2 07 6 15 6 15.5 4.5 11 1 03.5 2 05 2 07 2 08.5 3 09 4 01.5 3.5 04 3 01 5 03 5 02 ...

ytb_lr.txt数据2 1 02 2 05 4 14 5 12 3 03 2 06 5 14 1 06 3 17 4 1#import libimport numpy as npimport matplotlib.pyplot as plt#def loaddatadef loaddata(filename): file = open(file...

解决方法出现这个提示并不妨碍程序执行。意思似乎是说CPU的匹配上可以优化import osos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' 

转自:https://blog.youkuaiyun.com/luolan9611/article/details/81077759分享两个GitHub链接，今天看到的，超赞超赞不能更赞了，答应我一定要去看好吗~~~~不论是笔记还是github中分享的其它资源，课程视频链接，PPT下载，作业布置等都超棒。我要把这段安利用红色标出来！！！（18.7.19  附一个访问coursera网站的方法https...

亲测 可用原链接 https://blog.youkuaiyun.com/hortensius/article/details/82251162

原文链接:https://blog.youkuaiyun.com/u012526120/article/details/48973497

1. 先生成log文件 我的:/Users/Scarlett/Desktop/Test-Project/models/test/events.out.tfevents.1553138404.Scarlett.local2. 在终端 CD到 文件的上一层目录 cd/Users/Scarlett/Desktop/Test-Project/models/test3.启动tens...

import tensorflow as tf# 模型持久化==================v1 = tf.Variable(initial_value=tf.random_uniform([1],0,10,dtype=tf.float32),name='v1')v2 = tf.Variable(initial_value=tf.random_uniform([1],0,10,dtyp...

# -- encoding:utf-8 --"""Create by ibf on 19/1/15"""import numpy as npimport matplotlib.pyplot as pltimport tensorflow as tfdef show_image(image): shape = np.shape(image) if len(sha...

转自:https://blog.youkuaiyun.com/weixin_42180810/article/details/81266777

一: 开启AWS实例0.准备工作注册填写工单 请参考:https://zhuanlan.zhihu.com/p/250661871. 打开亚马逊服务器 登录AWS服务控制台点击EC22.Running Instances 显示的是已经开启的实例, 没开启为0点击 Launch Instance 开启一个实例3. 这里使用Community AMI 社区...

import osfrom tensorflow.python.client import device_libos.environ["TF_CPP_MIN_LOG_LEVEL"] = '99'print(device_lib.list_local_devices())承接ARVR项目开发: QQ 2118590660

转自https://yq.aliyun.com/ziliao/330299 

转自https://zhuanlan.zhihu.com/p/25884239导图概览描述性统计：表格和图形法描述性统计：数值方法概率概率分布抽样分布区间估计假设检验两总体均值& 比例的推断总体方差的统计推断多个比率的比较/ 独立性/拟合优度检验实验设计 | 方差分析简单线性回归残差分析...

Mac下安装graphviz终端执行brew install graphviz然后安装pip install pydotplus到 notebook 里测试下mport numpy as npimport pandas as pdfrom sklearn.tree import DecisionTreeClassifier# 仍然使用自带的iris数据from...

决策树离散值分类path = "xigua.csv"import pandas as pddf = pd.read_csv(path,na_values='?')#计算占比def calculate_f(feature,value,df): data = df[df[feature] == value] f = len(data)/len(df) return...

转自:https://www.cnblogs.com/pinard/p/6050306.html决策树算法在机器学习中算是很经典的一个算法系列了。它既可以作为分类算法，也可以作为回归算法，同时也特别适合集成学习比如随机森林。本文就对决策树算法原理做一个总结，上篇对ID3， C4.5的算法思想做了总结，下篇重点对CART算法做一个详细的介绍。选择CART做重点介绍的原因是scikit-learn...

转自:http://www.cnblogs.com/pinard/p/6053344.html　　在决策树算法原理(上)这篇里，我们讲到了决策树里ID3算法，和ID3算法的改进版C4.5算法。对于C4.5算法，我们也提到了它的不足，比如模型是用较为复杂的熵来度量，使用了相对较为复杂的多叉树，只能处理分类不能处理回归等。对于这些问题， CART算法大部分做了改进。CART算法也就是我们下面的重点...

决策树回归## Bagging——分类任务import pandas as pdimport numpy as npfrom sklearn.tree import DecisionTreeClassifierdf = pd.DataFrame([[0,1],[1,1],[2,1],[3,-1],[4,-1], [5,-1],[6,1],[7,1...

新建dataframeimport pandas as pda = pd.DataFrame([[1,2,3], [4,5,6], [7,8,9]],columns = ["feature_1", "feature_2", "label"])读取import pandas as pddf = pd.read_c...

分割训练集与测试集from sklearn.model_selection import train_test_splitX = a.iloc[:,0:-1]Y = a["label"]X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.5,random_state=0)Y_train统计...

import numpy as npimport pandas as pdpath = "breast-cancer-wisconsin.data"names = ['id','Clump Thickness','Uniformity of Cell Size','Uniformity of Cell Shape', 'Marginal Adhesion','Single...

import pandas as pdfrom sklearn.preprocessing import OneHotEncoderfrom sklearn.preprocessing import PolynomialFeaturesfrom sklearn.preprocessing import StandardScalerfrom sklearn.model_selection ...

# 引入所需要的全部包from sklearn.model_selection import train_test_splitfrom sklearn.linear_model import LinearRegressionfrom sklearn.preprocessing import StandardScalerimport numpy as npimport matplotli...

在实际工作中，我们可以使用业务数据进行机器学习开发，但是在学习过程中， 没有业务数据，此时可以使用公开的数据集进行开发，常用数据集如下:• http://archive.ics.uci.edu/ml/datasets.html• https://aws.amazon.com/cn/public-datasets/• https://www.kaggle.com/competitions•...

OMP: Error #15: Initializing libiomp5.dylib, but found libiomp5.dylib already initialized.OMP: Hint: This means that multiple copies of the OpenMP runtime have been linked into the program. That is d...