Write me a function that will import the fourclass dataset and calculate the logistic regression using Python.
system
mujhe ek fnction likhen jo forclas dataset aayaat karegaa or paythan kaa upyog karke logistic regration kii gananaa karegaa.
user
aap paythan ke saath logistic regration kii gananaa karne ke liye `Sklean` kaa upyog kar sakate hai.yahaan bataaya gaya he ki aap ise kaise karte hai:

# aavashyak pustakaalayon kaa aayaat karen
Sklearn aayaat dataset se
Sklearn aayaat Linear_model se
sklearn.datasets se aayaat load_fourclass
sklearn.linear_model aayaat logisticrigration se

# dataset lod karen
X, y = load_fourclass (ritern_eks_vaai = sach)
# pratigaman vakr ke liye data feet karen
Reg = LogisticRegress
# ek vargeekaran ke saath pratigaman kii bhavishyavaanee karen
log = clf.predict (x [: 2,:])
print (log)

yah code `DataSets`,` linear_model`, `load_fourclass`, or` logisticregression` ko `sklearn` librari se aayaat karata he, jisase aap data ke logistic pratigaman kii gananaa karne kii anumati dete hai.yah sabase pehle `restor_x_y` parameter ke saath` load_fourclass` kaa upyog karata he, jo `x` or` y` char ko paribhaashit karne ke liye sahi he.ye char tab logistic regration ke liye feet hote hai, `reg`,` logisticregeshan () feet () `kaa upyog karte hue.`random_state` ko 10 par set kiya gaya he, jo aapako aavashyaktaa hone par data ko pun: pesh karne kii anumati degaa.yadrichhik sthiti set kiye bina, data kaa pherbadal har baar alag hoga.ant main, `clf.predict ()` kaa upyog data ke vargeekaran ko` log` ke rup main vargeekaran kii bhavishyavaanee karne ke liye kiya jaataa he, jise tab `print ()` kaa upyog karke mudrit kiya jaataa he.
assistant
<|system|>
</s>
<|user|>
mujhe ek fnction likhen jo forclas dataset aayaat karegaa or paythan kaa upyog karke logistic regration kii gananaa karegaa.</s>
<|assistant|>
aap paythan ke saath logistic regration kii gananaa karne ke liye `Sklean` kaa upyog kar sakate hai.yahaan bataaya gaya he ki aap ise kaise karte hai:

# aavashyak pustakaalayon kaa aayaat karen
Sklearn aayaat dataset se
Sklearn aayaat Linear_model se
sklearn.datasets se aayaat load_fourclass
sklearn.linear_model aayaat logisticrigration se

# dataset lod karen
X, y = load_fourclass (ritern_eks_vaai = sach)
# pratigaman vakr ke liye data feet karen
Reg = LogisticRegress
# ek vargeekaran ke saath pratigaman kii bhavishyavaanee karen
log = clf.predict (x [: 2,:])
print (log)

yah code `DataSets`,` linear_model`, `load_fourclass`, or` logisticregression` ko `sklearn` librari se aayaat karata he, jisase aap data ke logistic pratigaman kii gananaa karne kii anumati dete hai.yah sabase pehle `restor_x_y` parameter ke saath` load_fourclass` kaa upyog karata he, jo `x` or` y` char ko paribhaashit karne ke liye sahi he.ye char tab logistic regration ke liye feet hote hai, `reg`,` logisticregeshan () feet () `kaa upyog karte hue.`random_state` ko 10 par set kiya gaya he, jo aapako aavashyaktaa hone par data ko pun: pesh karne kii anumati degaa.yadrichhik sthiti set kiye bina, data kaa pherbadal har baar alag hoga.ant main, `clf.predict ()` kaa upyog data ke vargeekaran ko` log` ke rup main vargeekaran kii bhavishyavaanee karne ke liye kiya jaataa he, jise tab `print ()` kaa upyog karke mudrit kiya jaataa he.</s>
