python【大數據分析】sklearn（08）

# 創建機器學習的模型
import numpy as np
import scipy as sc
import matplotlib as mat
from sklearn.linear_model import LinearRegression
from sklearn import svm
from sklearn import datasets

model = LinearRegression()
print(model)

iris = datasets.load_iris()
print(iris.data.shape)

clf = svm.LinearSVC()
clf.fit(iris.data,iris.target)
clf.predict([[5.0,3.6,1.3,0.25]])
clf.coef_