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資源簡(jiǎn)介

包含數(shù)據(jù)線性可分與數(shù)據(jù)線性不可分?jǐn)?shù)據(jù),與Logistic回歸比較及SVM應(yīng)用于多分類問(wèn)題等!包含生成數(shù)據(jù)集與真實(shí)數(shù)據(jù)集、數(shù)據(jù)集分為線性可分與線性不可分?jǐn)?shù)據(jù)、二維及多維數(shù)據(jù)均適用!!!

資源截圖

代碼片段和文件信息

import?matplotlib.pyplot?as?plt

plt.style.use(‘ggplot‘)

from?sklearn.datasets?import?load_iris
import?pandas?as?pd

data?=?load_iris()
print(dir(data))??#?查看data所具有的屬性或方法
print(data.DESCR)??#?查看數(shù)據(jù)集的簡(jiǎn)介

#?直接讀到pandas的數(shù)據(jù)框中
pd.Dataframe(data=data.data?columns=data.feature_names)

X?=?data.data??#?只包括樣本的特征,150x4
y?=?data.target??#?樣本的類型,[0?1?2]
features?=?data.feature_names??#?4個(gè)特征的名稱
targets?=?data.target_names??#?3類鳶尾花的名稱,跟y中的3個(gè)數(shù)字對(duì)應(yīng)

plt.figure(figsize=(10?4))
plt.plot(X[:?2][y?==?0]?X[:?3][y?==?0]?‘bs‘?label=targets[0])
plt.plot(X[:?2][y?==?1]?X[:?3][y?==?1]?‘kx‘?label=targets[1])
plt.plot(X[:?2][y?==?2]?X[:?3][y?==?2]?‘ro‘?label=targets[2])
plt.xlabel(features[2])
plt.ylabel(features[3])
plt.title(‘Iris?Data?Set‘)
plt.legend()
plt.savefig(‘Iri

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-11-26?17:15??svm\
?????目錄???????????0??2019-11-27?15:03??svm\.idea\
?????目錄???????????0??2019-11-24?16:49??svm\.idea\inspectionProfiles\
?????文件?????????174??2019-11-24?16:49??svm\.idea\inspectionProfiles\profiles_settings.xml
?????文件?????????188??2019-11-24?16:50??svm\.idea\misc.xml
?????文件?????????265??2019-11-24?16:49??svm\.idea\modules.xml
?????文件?????????441??2019-11-24?16:50??svm\.idea\svm.iml
?????文件????????7572??2019-11-27?15:03??svm\.idea\workspace.xml
?????文件???????34632??2019-11-23?21:05??svm\data.txt
?????文件??????340496??2019-11-26?16:45??svm\data216x197.npy
?????文件???????67324??2019-11-26?17:15??svm\Iris?Data?Set.png
?????文件?????????969??2019-11-26?17:15??svm\iris-data.py
?????文件????????6627??2019-11-26?11:09??svm\logistic.py
?????文件????????3171??2019-11-26?16:47??svm\mytil-svm.py
?????文件????????2327??2019-11-25?10:09??svm\result
?????文件????????2999??2019-11-25?10:08??svm\resultData
?????文件?????????799??2019-11-25?10:09??svm\resultLabel
?????文件????????1567??2019-11-26?11:14??svm\svm-data.py
?????文件????????5108??2019-11-26?17:06??svm\svm-mutilclass.py
?????文件????????8282??2019-11-26?11:47??svm\svm-smo.py
?????文件???????11092??2019-11-26?11:45??svm\svmMLiA.py
?????文件????????3473??2019-11-23?21:23??svm\test.txt
?????文件????????2404??2019-11-24?20:57??svm\testSet.txt
?????文件????????3145??2019-11-24?20:55??svm\testSetRBF.txt
?????文件????????3147??2019-11-24?20:56??svm\testSetRBF2.txt
?????文件?????????880??2019-11-25?09:55??svm\three-dimensionality-svm.py
?????文件????????5566??2019-11-26?11:25??svm\two-dimensionality-logistic.py
?????目錄???????????0??2019-11-24?16:48??svm\venv\
?????目錄???????????0??2019-11-24?16:48??svm\venv\Include\
?????目錄???????????0??2019-11-24?16:48??svm\venv\Lib\
?????目錄???????????0??2019-11-24?16:48??svm\venv\Lib\site-packages\
............此處省略2個(gè)文件信息

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