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stratify
快速了解——交叉验证和网格搜索 以及损失函数
一、交叉验证和网格搜索目的:调整超参数对于KNN来说,可以调整的参数包括K:邻居的个数P:距离度量方式1、交叉验证概述:训练数据划分为训练集、验证集
stratify
:分层划分,
stratify
=y保证训练集
小林打怪中
·
2024-01-12 06:05
机器学习
人工智能
机器学习探索计划——数据集划分
文章目录导包手写数据划分函数使用sklearn内置的划分数据函数
stratify
=y理解举例导包importnumpyasnpfrommatplotlibimportpyplotaspltfromsklearn.datasetsimportmake_blobs
FeatherWaves
·
2023-11-25 14:34
机器学习
人工智能
神经网络调参--使用hyperopt调整超参数
fromsklearn.model_selectionimporttrain_test_splitx_train,x_val,y_train,y_val=train_test_split(seq_train,train_label,test_size=0.2,
stratify
灯下夜无眠
·
2023-08-09 16:44
深度学习
神经网络
深度学习
tensorflow
hyperopt
调参
神经网络调参--BayesianOptimization
fromsklearn.model_selectionimporttrain_test_splitx_train,x_val,y_train,y_val=train_test_split(seq_train,train_label,test_size=0.2,
stratify
灯下夜无眠
·
2023-08-09 16:14
深度学习
神经网络
深度学习
tensorflow
sklearn.model_selection模块介绍
train_test_splittrain_test_split(*arrays,test_size=None,train_size=None,random_state=None,shuffle=True,
stratify
小瓶盖的猪猪侠
·
2023-07-15 09:50
#
python库
sklearn
人工智能
python
关于x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=0)
y_test=sklearn.model_selection.train_test_split(train_data,train_target,test_size=0.4,random_state=0,
stratify
我是真的菜啊啊
·
2023-03-29 22:30
深度学习
python
机器学习
深度学习
label y 训练集测试集x_训练集测试集划分 train_test_split(X, y,
stratify
=y)
sklearn——train_test_split随机划分训练集和测试集sklearn.model_selection.train_test_split随机划分训练集和测试集官网文档:http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html一般形式:train_tes
weixin_39589253
·
2023-01-07 12:45
label
y
训练集测试集x
sklearn.model_selection.train_test_split函数
sklearn.model_selection.train_test_split(*arrays,test_size=None,train_size=None,random_state=None,shuffle=True,
stratify
不负韶华ღ
·
2023-01-05 20:23
#
sklearn
sklearn
机器学习
python
sklearn中train_test_split里,参数
stratify
含义解析
数据切分成训练集和测试集X_train,X_test,y_train,y_test=train_test_split(features,result,test_size=0.2,random_state=0,
stratify
天青色的瓷
·
2023-01-05 20:22
机器学习
python
sklearn
stratify
分割训练集和测试集(train_test_split)
y_test=sklearn.model_selection.train_test_split(train_data,train_target,test_size=0.4,random_state=0,
stratify
*Snowgrass*
·
2022-12-09 04:44
机器学习
机器学习python中train_test_split()函数进行数据集分割
sklearn.model_selection功能:划分数据的训练集与测试集参数解读:train_test_split(*arrays,test_size,train_size,rondom_state=None,shuffle=True,
stratify
忘川之水&
·
2022-11-23 03:34
机器学习
机器学习
python
人工智能
train_test_split数据集分割
sklearn.model_selection功能:划分数据的训练集与测试集参数解读:train_test_split(*arrays,test_size,train_size,rondom_state=None,shuffle=True,
stratify
躺在稻田里的小白菜
·
2021-06-26 00:29
用train_test_split进行训练集和测试集的随机切分
sklearn.model_selection.train_test_split(sample_data,sample_target,test_size=0.25,train_size=None,random_state=0,
stratify
csdn_youth0605
·
2020-08-22 15:51
数据处理
sklearn学习-2-knn
arrys,**option)#test_size:=0.25#train_size:=0.75#random_state:=None#shuffle:True,是否在splitting之前拆分数据#
stratify
xuwang777
·
2020-07-13 22:11
sklearn
划分数据集的方法
fromsklearn.model_selectionimporttrain_test_split2)函数介绍:train_split(*arrays,test_size,train_size,random_state,shuffle,
stratify
yiyu_j
·
2020-07-09 03:43
机器学习工具之交叉验证数据集自动划分train_test_split
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=o,
stratify
伊伊note
·
2020-07-09 03:42
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=o,
stratify
Hinton-wu
·
2020-06-25 14:17
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
、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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
EIYO
·
2020-05-22 15:00
13-垃圾邮件分类2
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是随机参数,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
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=0,
stratify
codekid
·
2020-05-21 08:00
Python机器学习库sklearn.model_selection模块的几个方法参数
返回切分的数据集train/testtrain_test_split(*array,test_size=0.25,train_size=None,random_state=None,shuffle=True,
stratify
Young_win
·
2018-01-16 19:28
ML和DL的Python实现
c语言学习笔记三
return语句 如果没有返回结果,结束当前函数的执行,返回到调用它的地方 增量式开发 分局设计(
stratify
) 递归 计算阶乘 0!=1 n!=n*(n-1)!
retacn_yue
·
2012-09-16 13:00
java
c
exception
ini
语言
c语言学习笔记三
return 语句 如果没有返回结果,结束当前函数的执行,返回到调用它的地方 增量式开发 分局设计(
stratify
) 递归 计算阶乘 0!=1 n!=n*(n-1)!
岳振华
·
2012-09-16 13:00
c
c语言学习笔记三
return 语句 如果没有返回结果,结束当前函数的执行,返回到调用它的地方 增量式开发 分局设计(
stratify
) 递归 计算阶乘 0!=1 n!=n*(n-1)!
yuezhenhua
·
2012-09-16 13:00
学习笔记
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