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random_state
python数据挖掘--超参寻优篇（附方法和代码）
fromsklearn.model_selectionimportcross_val_score,KFold定义交叉验证规则n_folds=5rmse=[]defrmsle_cv(model):kf=KFold(n_folds,shuffle=True,
random_state
睡醒了的小码媛
·
2020-06-29 03:57
机器学习
python数据分析
python数据挖掘---建模篇（附代码）
数据挖掘路上点点滴滴，记录下机器学习常用模型（附代码），持续更新数据划分x_train1,x_test1,y_train1,y_test1=train_test_split(x,y,train_size=0.8,
random_state
睡醒了的小码媛
·
2020-06-29 03:57
机器学习
python数据分析
【svm.LinearSVC】sklearn svm.LinearSVC的参数说明
tol=0.0001,C=1.0,multi_class=’ovr’,fit_intercept=True,intercept_scaling=1,class_weight=None,verbose=0,
random_state
suu_fxhong
·
2020-06-29 02:37
sklearn
决策树的实现和排序重要特征
fromsklearn.treeimportDecisionTreeClassifierfromadspy_shared_utilitiesimportplot_feature_importancestree=DecisionTreeClassifier(
random_state
weixin_34095889
·
2020-06-28 11:53
sklearn的train_test_split
X_train,X_test,y_train,y_test=cross_validation.train_test_split(train_data,train_target,test_size=0.3,
random_state
风景不在对岸wj
·
2020-06-27 00:36
python笔记
使用python绘制cdf的多种方法
numpy数组，如下：//Anhighlightedblockrng=np.random.RandomState(seed=12345)samples=stats.norm.rvs(size=1000,
random_state
站在风口的骚人
·
2020-06-26 19:37
python
pandas.DataFrame.sample函数抽样划分Pascal voc数据 训练集验证集测试集
先查sample函数的使用方法DataFrame.sample(n=None,frac=None,replace=False,weights=None,
random_state
=None,axis=None
shiheyingzhe
·
2020-06-26 09:04
深度学习
SVM 多分类分类边界可视化
importnumpyasnpimportmatplotlib.pyplotaspltfromsklearnimportsvmfromsklearn.datasetsimportmake_blobsX,y=make_blobs(n_samples=180,centers=5,
random_state
shejiangao
·
2020-06-26 08:18
人工智能
使用sklearn生成数据集
sklearn.datasets.make_blobs(n_samples=100,n_features=2,centers=3,cluster_std=1.0,center_box=(-10.0,10.0),shuffle=True,
random_state
Minkowski_lin
·
2020-06-26 00:54
sklearn
数据分析
Python
LogisticRegression在sklearn中的参数详解
LogisticRegression(penalty='l2',dual=False,tol=0.0001,C=1.0,fit_intercept=True,intercept_scaling=1,class_weight=None,
random_state
wyh_wen
·
2020-06-25 23:45
机器学习
sklearn
python
estimate_bandwidth
sklearn.cluster.estimate_bandwidth(X,quantile=0.3,n_samples=None,
random_state
=0,n_jobs=1)字面意思：预估带宽Estimatethebandwidthtousewiththemean-shiftalgorithm
你说你要一场
·
2020-06-25 17:16
python--DataFrame随机抽样
官方文档解释在这：sampleDataFrame.sample(n=None,frac=None,replace=False,weights=None,
random_state
=None,axis=None
碧空之戈
·
2020-06-25 15:47
Python
train_test_split()，随机划分训练集和测试集的函数
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(train_data,train_lable,test_size=0.3,
random_state
Hinton-wu
·
2020-06-25 14:17
python
python 利用sklearn.cross_validation的KFold构造交叉验证数据集
参数(n,n_folds=3,shuffle=False,
random_state
=None)n为总数n_folds为分为多少个交叉验证集shuffle为是否随机
random_state
设置随机因子fromsklearn.cross_validationimportKFoldimportnumpyasn
HxShine
·
2020-06-24 23:17
python
python imblearn toolbox 解决数据不平衡问题(二)——over-sampling上采样
基本用法框架fromimblearn.over_samplingimportRandomOverSamplerros=RandomOverSampler(
random_state
=0)X_resampled
mathlmj
·
2020-06-24 13:28
Python中决策树分类器DecisionTreeClassifier参数和经验总结
max_depth=None,min_samples_split=2,min_samples_leaf=1,min_weight_fraction_leaf=0.0,max_features=None,
random_state
linzhjbtx
·
2020-06-24 05:16
数据建模和机器学习
构造随机正交矩阵
importnumpyasnpfromscipy.statsimportortho_groupd=3seed=1size=2a,b=np.float32(ortho_group.rvs(size=size,dim=d,
random_state
dejing6575
·
2020-06-23 03:26
安装更新sklearn包
fromsklearn.model_selectionimporttrain_test_splitfromsklearn.datasetsimportmake_moonsX,y=make_moons(n_samples=500,noise=0.30,
random_state
别致的SmallSix
·
2020-06-21 07:04
sklearn中的参数含义
python
机器学习
泰坦尼克号决策树预测（附：代码，常用参数，数据集）
win10+python3.7，不同环境可能会有些许差异决策树APIsklearn.tree.DecisionTreeClassifier(criterion=‘gini’,max_depth=None,
random_state
me_to_007
·
2020-06-21 03:28
Python
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
何威1702
·
2020-06-14 21:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
当地一个比较帅的人
·
2020-06-14 20:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
俞英杰
·
2020-05-23 21:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
kzg
·
2020-05-23 21:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
ling9709
·
2020-05-23 21:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
广商吴彦祖
·
2020-05-23 20:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
162
·
2020-05-23 20:00
第十三次作业-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
、秋天
·
2020-05-23 20:00
垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
宋思康
·
2020-05-23 19:00
13、垃圾邮件2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
mean1
·
2020-05-23 19:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
真真不知
·
2020-05-23 18:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
邓伟江
·
2020-05-23 17:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
缪孝文
·
2020-05-23 14:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
321木头人123
·
2020-05-23 05:00
机器学习十三——垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
xiaoAP
·
2020-05-23 03:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
EIYO
·
2020-05-22 15:00
13-垃圾邮件分类2
html3.数据划分—训练集和测试集数据划分#new_data是要划分的样本特征集--邮件内容，sms_label是划分的样本结果集--垃圾邮件还是普通邮件#test_size是样本占比,选20%来测试，
random_state
Qing#Ci
·
2020-05-22 15:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
Chaiyeh
·
2020-05-22 12:00
13-垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
Rick00
·
2020-05-22 11:00
机器学习13- 垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
喝Pure牛奶
·
2020-05-22 00:00
13 垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
linyanli
·
2020-05-21 11:00
第十三次作业----垃圾邮件分类2
fromsklearn.model_selectionimporttrain_test_splitx_train,x_test,y_train,y_test=train_test_split(data,target,test_size=0.2,
random_state
codekid
·
2020-05-21 08:00
成功解决TypeError: ‘method’ object is not subscriptable
X_test,y_train,y_test=train_test_split(local_data.drop['number'],local_data['number'],test_size=0.1,
random_state
叫我李嘉图
·
2020-05-03 21:40
Bug
python
Kmeans
n_clusters=8,init='k-means++',n_init=10,max_iter=300,tol=0.0001,precompute_distances='auto',verbose=0,
random_state
似海深蓝
·
2020-04-28 16:59
python机器学习7：数据预处理
fromsklearn.datasetsimportmake_blobsimportmatplotlib.pyplotaspltX,y=make_blobs(n_samples=40,centers=2,
random_state
勇于自信
·
2020-04-08 10:31
SKlearn中分类决策树的重要参数详解
max_depth=None,min_samples_split=2,min_samples_leaf=1,min_weight_fraction_leaf=0.0,max_features=None,
random_state
CDA数据分析师培训
·
2020-04-01 06:47
KFold
4.PNGParamtersn_splits:int，默认3分割数据的份数，至少为2shuffle:布尔，可选分割数据之前是否打乱数据
random_state
:int，RandomState实例或者None
yuriy0_0
·
2020-03-25 14:18
做集成学习的时候出现`AttributeError: 'list' object has no attribute 'set_params'`不知道怎么解决
list'objecthasnoattribute'set_params'不知道怎么解决fromsklearn.ensembleimportAdaBoostRegressorestimator=[ExtraTreesRegressor(
random_state
chentao326
·
2020-03-21 14:06
python
大数据
机器学习
python
使用python绘制cdf的多种实现方法
numpy数组，如下：//Anhighlightedblockrng=np.random.RandomState(seed=12345)samples=stats.norm.rvs(size=1000,
random_state
站在风口的骚人
·
2020-02-25 16:38
数据集切分
fromsklearn.model_selectionimporttrain_test_splitXtrain,Xtest,Ytrain,Ytest=train_test_split(X,Y,test_size=0.3,
random_state
少年奶油喵
·
2020-02-20 23:00
2018-10-02
fromsklearn.treeimportDecisionTreeClassifierdt_model=DecisionTreeClassifier(criterion='entropy',
random_state
PuyuaN
·
2020-02-12 04:14
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