instruction
stringlengths 17
158
| input
stringclasses 1
value | output
stringlengths 21
274
| length
int64 44
320
| conversations
stringlengths 106
382
|
---|---|---|---|---|
ãããããĸãŧã ãåļåžĄããPythonãšã¯ãĒãããåŽčŖ
ããĻãã ããã | ```python
import pyfirmata
board = pyfirmata.Arduino('COM3')
it = pyfirmata.util.Iterator(board)
it.start()
arm = board.get_pin('d:10:s')
arm.write(90)
``` | 188 | [{"from": "human", "value": "ãããããĸãŧã ãåļåžĄããPythonãšã¯ãĒãããåŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
import pyfirmata
board = pyfirmata.Arduino('COM3')
it = pyfirmata.util.Iterator(board)
it.start()
arm = board.get_pin('d:10:s')
arm.write(90)
```"}] |
|
éåš´ãŽåäēãä¸ģäēēå
Ŧã§ãããšãĒãŠãŧå°čĒŦãæ¸ããĻãã ããã | æ¨æŊåˇæ˛ŋããŽå
Ŧåã§æŽēäēēäēäģļãčĩˇãããäēäģļįžå ´ã§įēčĻãããææããã¯éˇãããŧãã ãã ãŖãããããéēäŊãĢã¯įĩãããããããĒ补ã¯ãĒããåäēã§ããæžå˛Ąã¯ä¸įŠãĒäēæããããããã¯2ã¤éŖãŽčĄã§ãåããããĒäēäģļãããŖãããã ã | 133 | [{"from": "human", "value": "éåš´ãŽåäēãä¸ģäēēå
Ŧã§ãããšãĒãŠãŧå°čĒŦãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "æ¨æŊåˇæ˛ŋããŽå
Ŧåã§æŽēäēēäēäģļãčĩˇãããäēäģļįžå ´ã§įēčĻãããææããã¯éˇãããŧãã ãã ãŖãããããéēäŊãĢã¯įĩãããããããĒ补ã¯ãĒããåäēã§ããæžå˛Ąã¯ä¸įŠãĒäēæããããããã¯2ã¤éŖãŽčĄã§ãåããããĒäēäģļãããŖãããã ã"}] |
|
ãŠãŗãã ããŠãŦãšããŽåéĄå¨ãåŽčŖ
ããĻãã ããã
| ```python
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import load_iris
X, y = load_iris(return_X_y=True)
clf = RandomForestClassifier(n_estimators=100)
clf.fit(X, y)
``` | 223 | [{"from": "human", "value": "ãŠãŗãã ããŠãŦãšããŽåéĄå¨ãåŽčŖ
ããĻãã ããã
"}, {"from": "gpt", "value": "```python
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import load_iris
X, y = load_iris(return_X_y=True)
clf = RandomForestClassifier(n_estimators=100)
clf.fit(X, y)
```"}] |
|
Aããã¯čģãĢäšãŖãĻãBããã¯æŠããĻããããįŽįå°ãĢåãããžãããå
ãĢįŽįå°ãĢå°įãããŽã¯Bããã§ããããĒãã ã¨æããžããīŧ | įŽįå°ãžã§ãŽéčˇ¯ãäŊãããŽįįąã§æ¸æģããĻãããčģã§åããŖãAããã¯ãĒããĒãé˛ããã¨ãã§ããĒããŖãããã ã¨čããããžãã | 120 | [{"from": "human", "value": "Aããã¯čģãĢäšãŖãĻãBããã¯æŠããĻããããįŽįå°ãĢåãããžãããå
ãĢįŽįå°ãĢå°įãããŽã¯Bããã§ããããĒãã ã¨æããžããīŧ"}, {"from": "gpt", "value": "įŽįå°ãžã§ãŽéčˇ¯ãäŊãããŽįįąã§æ¸æģããĻãããčģã§åããŖãAããã¯ãĒããĒãé˛ããã¨ãã§ããĒããŖãããã ã¨čããããžãã"}] |
|
åēå ´ãæŽåŊąãããšããĒãŧãããŠãã°ãŠããĄãŧã¨ãåēå ´ãæé¤ããå¸įĢå´åč
ãŽå¯žčŠąãæ¸ããĻãã ããã | ããžããããåįãæŽããããĒīŧã
å¸įĢå´åč
ããããŠãã°ãŠããĄãŧãĢ芹ããããžããã
ããããäģæĨã¯ãã襨æ
ãŽåããããã§ãããåäžããĄãŽįŦéĄã¯ãčĻãĻããã ãã§å
æ°ãåēãžããã
ãããããã§ããããŽåēå ´ã¯ææĨããæé¤ã ããããããĢãĒããããããæŽããĒãããããĒããīŧã
ãããã§ãããžãéã襨æ
ãčĻããã¨ãã§ããã§ããããããŽįŦéãåãåããã¨ããį§ãŽäģäēã§ããããã
ããĒããģãŠãįĸēããĢãããŽåēå ´ãĢã¯ããã¤ãããããĒäēēãããããããã
ãããã§ãããīŧ ã ãããį§ã¯ããŽå ´æãåĨŊããĒãã§ããã
2äēēã¯ãããããéãčĻįšãããåēå ´ãčĻã¤ããĻããžããã | 320 | [{"from": "human", "value": "åēå ´ãæŽåŊąãããšããĒãŧãããŠãã°ãŠããĄãŧã¨ãåēå ´ãæé¤ããå¸įĢå´åč
ãŽå¯žčŠąãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "ããžããããåįãæŽããããĒīŧã
å¸įĢå´åč
ããããŠãã°ãŠããĄãŧãĢ芹ããããžããã
ããããäģæĨã¯ãã襨æ
ãŽåããããã§ãããåäžããĄãŽįŦéĄã¯ãčĻãĻããã ãã§å
æ°ãåēãžããã
ãããããã§ããããŽåēå ´ã¯ææĨããæé¤ã ããããããĢãĒããããããæŽããĒãããããĒããīŧã
ãããã§ãããžãéã襨æ
ãčĻããã¨ãã§ããã§ããããããŽįŦéãåãåããã¨ããį§ãŽäģäēã§ããããã
ããĒããģãŠãįĸēããĢãããŽåēå ´ãĢã¯ããã¤ãããããĒäēēãããããããã
ãããã§ãããīŧ ã ãããį§ã¯ããŽå ´æãåĨŊããĒãã§ããã
2äēēã¯ãããããéãčĻįšãããåēå ´ãčĻã¤ããĻããžããã"}] |
|
åŦãŽéĒæ¯č˛ãæããæįĢ ãäŊæããĻãã ããã | éĒãéãįŠãããä¸įã¯įãŖįŊãĒéä¸įã¸ã¨å¤ããŖãĻããžããã
æ¨ã
ã¯ãéĒãŽéãŋãĢčããããĻãæãæ˛ããĻããžããã
éå¯ãŽä¸įãĢãéĒããˇãŗãˇãŗã¨éãæŗ¨ããææãéĒãåąæ šããæģãčŊãĄãéŗãčãããžããã
åŦãŽå¯ãã¯åŗããããŽã§ããããéĒæ¯č˛ã¯ãäēēã
ãŽåŋãåãžãããįžããããŽã§ããã | 159 | [{"from": "human", "value": "åŦãŽéĒæ¯č˛ãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "éĒãéãįŠãããä¸įã¯įãŖįŊãĒéä¸įã¸ã¨å¤ããŖãĻããžããã
æ¨ã
ã¯ãéĒãŽéãŋãĢčããããĻãæãæ˛ããĻããžããã
éå¯ãŽä¸įãĢãéĒããˇãŗãˇãŗã¨éãæŗ¨ããææãéĒãåąæ šããæģãčŊãĄãéŗãčãããžããã
åŦãŽå¯ãã¯åŗããããŽã§ããããéĒæ¯č˛ã¯ãäēēã
ãŽåŋãåãžãããįžããããŽã§ããã"}] |
|
åŊŧåĨŗã¯ãäš
ããļããŽéåã ããããĄããã¨äēåãĢãšããŦãããããĒãã¨ããã¨č¨ããžããããĒããšããŦãããããåŋ
čĻããããŽã§ããããīŧ | æŽæŽĩéåãããĒãäēēãæĨãĢåãã¨æĒæãããæãããããžãããšããŦããã¯čēĢäŊãŽįčãéĸį¯ãäŧ¸ã°ãåšæããããæĒæãŽäēé˛ãĢã¤ãĒãããããéååãĢãšããŦããããããã¨ãåšæįã ããã§ãã | 152 | [{"from": "human", "value": "åŊŧåĨŗã¯ãäš
ããļããŽéåã ããããĄããã¨äēåãĢãšããŦãããããĒãã¨ããã¨č¨ããžããããĒããšããŦãããããåŋ
čĻããããŽã§ããããīŧ"}, {"from": "gpt", "value": "æŽæŽĩéåãããĒãäēēãæĨãĢåãã¨æĒæãããæãããããžãããšããŦããã¯čēĢäŊãŽįčãéĸį¯ãäŧ¸ã°ãåšæããããæĒæãŽäēé˛ãĢã¤ãĒãããããéååãĢãšããŦããããããã¨ãåšæįã ããã§ãã"}] |
|
į´
čļãéŖ˛ããˇãŧãŗãæããæįĢ ãäŊæããĻãã ããã | åŊŧåĨŗã¯ãããŖããã¨į´
čļãåŖãĢåĢãŋãããŽéĻããæĨŊããŋãžããã
čŗéãĒãĸãŧãĢã°ãŦã¤ãŽéĻãããåŊŧåĨŗãŽåŋãæēãããžããã
åŊŧåĨŗã¯ãį´
čļãŽæ¸Šããã¨ãããŽéĻããįšããĒããčŗįĻãŽã˛ã¨ã¨ããåŗããŖãĻããžããã | 120 | [{"from": "human", "value": "į´
čļãéŖ˛ããˇãŧãŗãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "åŊŧåĨŗã¯ãããŖããã¨į´
čļãåŖãĢåĢãŋãããŽéĻããæĨŊããŋãžããã
čŗéãĒãĸãŧãĢã°ãŦã¤ãŽéĻãããåŊŧåĨŗãŽåŋãæēãããžããã
åŊŧåĨŗã¯ãį´
čļãŽæ¸Šããã¨ãããŽéĻããįšããĒããčŗįĻãŽã˛ã¨ã¨ããåŗããŖãĻããžããã"}] |
|
åå§įãĒæŖŽæãããŧãã¨ããå¯žčŠąãˇããĒãĒãäŊæããĻãã ããã | A: ãããŽæŖŽã¯ãįåŊãŽå§ãžããŽå ´æãĒãã ããã
B: ãããã ãĒãå¤Ēå¤ãŽæãããããŽæŖŽã¯įãįŠããĄãåŽããč˛ãã§ãããã
A: ãæŖŽãŽæ¨ã
ã¯ããžãã§åˇ¨å¤§ãĒįãįŠãŽããã ããã
B: ãããã ãĒãæ¨ã
ã¯ã大å°ãŽæ¯åšã ãã
A: ãããŽæŖŽããã¯ä¸æč°ãĒåãæããããã
B: ãããŽæŖŽã¯ãį§ããĄãŽæŗåãã¯ãããĢčļ
ããį§å¯ãé ããĻãããĢéããĒããã
A: ããã¤ããããŽæŖŽãŽããšãĻãŽį§å¯ãč§Ŗãæãããã ãã
B: ãį§ãã ãããŽæŖŽãŽčŦãč§ŖãæãããĻãäēēéĄãŽæĒæĨãĢč˛ĸįŽããããã | 301 | [{"from": "human", "value": "åå§įãĒæŖŽæãããŧãã¨ããå¯žčŠąãˇããĒãĒãäŊæããĻãã ããã"}, {"from": "gpt", "value": "A: ãããŽæŖŽã¯ãįåŊãŽå§ãžããŽå ´æãĒãã ããã
B: ãããã ãĒãå¤Ēå¤ãŽæãããããŽæŖŽã¯įãįŠããĄãåŽããč˛ãã§ãããã
A: ãæŖŽãŽæ¨ã
ã¯ããžãã§åˇ¨å¤§ãĒįãįŠãŽããã ããã
B: ãããã ãĒãæ¨ã
ã¯ã大å°ãŽæ¯åšã ãã
A: ãããŽæŖŽããã¯ä¸æč°ãĒåãæããããã
B: ãããŽæŖŽã¯ãį§ããĄãŽæŗåãã¯ãããĢčļ
ããį§å¯ãé ããĻãããĢéããĒããã
A: ããã¤ããããŽæŖŽãŽããšãĻãŽį§å¯ãč§Ŗãæãããã ãã
B: ãį§ãã ãããŽæŖŽãŽčŦãč§ŖãæãããĻãäēēéĄãŽæĒæĨãĢč˛ĸįŽããããã"}] |
|
åŊŧã¯10æŗã§å¤§åĻãĢéãŖãĻããžããäŊããããããŽã§ããããīŧ | 10æŗã¨ããã¨å°åĻæ Ą4åš´įãŽåš´éŊĸã§ãããããé常ãå°åĻæ Ąãģä¸åĻæ ĄãģéĢæ ĄãåæĨããåžãĢé˛åĻãã大åĻãĢ10æŗã§éãŖãĻããã¨ãããŽãããããã§ãã | 99 | [{"from": "human", "value": "åŊŧã¯10æŗã§å¤§åĻãĢéãŖãĻããžããäŊããããããŽã§ããããīŧ"}, {"from": "gpt", "value": "10æŗã¨ããã¨å°åĻæ Ą4åš´įãŽåš´éŊĸã§ãããããé常ãå°åĻæ Ąãģä¸åĻæ ĄãģéĢæ ĄãåæĨããåžãĢé˛åĻãã大åĻãĢ10æŗã§éãŖãĻããã¨ãããŽãããããã§ãã"}] |
|
čŋˇčˇ¯ãč§Ŗãããããį¨ãŽåŧˇååĻįŋãĸãĢã´ãĒãēã ãåŽčŖ
ããĻãã ãã | ```python
import gym
env = gym.make('FrozenLake-v0')
state = env.reset()
for _ in range(1000):
action = env.action_space.sample()
state, reward, done, info = env.step(action)
if done:
break
``` | 243 | [{"from": "human", "value": "čŋˇčˇ¯ãč§Ŗãããããį¨ãŽåŧˇååĻįŋãĸãĢã´ãĒãēã ãåŽčŖ
ããĻãã ãã"}, {"from": "gpt", "value": "```python
import gym
env = gym.make('FrozenLake-v0')
state = env.reset()
for _ in range(1000):
action = env.action_space.sample()
state, reward, done, info = env.step(action)
if done:
break
```"}] |
|
äēåæŗãäŊŋį¨ããĻæšį¨åŧãŽæ šãčĻã¤ãåēãPythonãŽéĸæ°ãäŊæããĻãã ããã | ```python
def bisection(f, a, b, tol=1e-5):
c = (a + b) / 2.0
while abs(f(c)) > tol:
if f(c) * f(a) < 0:
b = c
else:
a = c
c = (a + b) / 2.0
return c
``` | 251 | [{"from": "human", "value": "äēåæŗãäŊŋį¨ããĻæšį¨åŧãŽæ šãčĻã¤ãåēãPythonãŽéĸæ°ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "```python
def bisection(f, a, b, tol=1e-5):
c = (a + b) / 2.0
while abs(f(c)) > tol:
if f(c) * f(a) < 0:
b = c
else:
a = c
c = (a + b) / 2.0
return c
```"}] |
|
Pythonã§ãWebãšã¯ãŦã¤ããŗã°ã¨ããŧãŋæŊåēãããŗãŧããäŊæããĻãã ããã | ```python
import requests
from bs4 import BeautifulSoup
response = requests.get('https://example.com')
soup = BeautifulSoup(response.text, 'html.parser')
title = soup.find('title').get_text()
``` | 234 | [{"from": "human", "value": "Pythonã§ãWebãšã¯ãŦã¤ããŗã°ã¨ããŧãŋæŊåēãããŗãŧããäŊæããĻãã ããã"}, {"from": "gpt", "value": "```python
import requests
from bs4 import BeautifulSoup
response = requests.get('https://example.com')
soup = BeautifulSoup(response.text, 'html.parser')
title = soup.find('title').get_text()
```"}] |
|
æ¸č°ˇãããĻãŖãŗãĢéĸããããĨãŧãšč¨äēãæ¸ããĻãã ããã | äģåš´ãæ¸č°ˇãããĻãŖãŗãå¤§æˇˇéã§ããæ¨åš´ãå°éĸãčĻããĒããĒããģãŠãŽå¤§éãŽäēēã§æēĸããæ¸č°ˇã§ãããäģåš´ããããããŽäģŽčŖ
č
ãéãžããžãããæ¸č°ˇåēã¯éč¸äēæ
ãé˛æĸãããããŽåŧãŗãããčĄããžãããå¨čžēãŽéŖ˛éŖåēã§ã¯æˇˇéãéŋãããããĢæŠããĢéåēããåēãããŖãã¨ãŽãã¨ã§ãã | 154 | [{"from": "human", "value": "æ¸č°ˇãããĻãŖãŗãĢéĸããããĨãŧãšč¨äēãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "äģåš´ãæ¸č°ˇãããĻãŖãŗãå¤§æˇˇéã§ããæ¨åš´ãå°éĸãčĻããĒããĒããģãŠãŽå¤§éãŽäēēã§æēĸããæ¸č°ˇã§ãããäģåš´ããããããŽäģŽčŖ
č
ãéãžããžãããæ¸č°ˇåēã¯éč¸äēæ
ãé˛æĸãããããŽåŧãŗãããčĄããžãããå¨čžēãŽéŖ˛éŖåēã§ã¯æˇˇéãéŋãããããĢæŠããĢéåēããåēãããŖãã¨ãŽãã¨ã§ãã"}] |
|
éæŽĩãč¸ãã æãŽæčĻãæåããĻãã ããã | éæŽĩãč¸ãŋãããã¨čãĢéãŋãäŧããã
ä¸æŠãã¤éåŋãį§ģããĒããčēĢäŊãä¸ãĢåŧãä¸ããã
ãžãã§äēēįãŽå°éŖãäšãčļããĻãããããĒååŧˇããæããã | 98 | [{"from": "human", "value": "éæŽĩãč¸ãã æãŽæčĻãæåããĻãã ããã"}, {"from": "gpt", "value": "éæŽĩãč¸ãŋãããã¨čãĢéãŋãäŧããã
ä¸æŠãã¤éåŋãį§ģããĒããčēĢäŊãä¸ãĢåŧãä¸ããã
ãžãã§äēēįãŽå°éŖãäšãčļããĻãããããĒååŧˇããæããã"}] |
|
ååãŽæ¯åãĢã¤ããĻčĒŦæããĻãã ããã | ååãŽæ¯åã¨ã¯ãååå
ãŽååéãŽį§ģåãĢããŖãĻãååãŽæ§é ãæ°ããå¤ããįžčąĄã§ããããŽæ¯åã¯ãååååĻįå¤åã¨įŠčŗĒãŽįŠæ§å¤åãŽä¸ĄæšãĢéĸããįžčąĄã§ãããã¨ãį¤ēãããĻããžããäžãã°ãįŠčŗĒãæļ˛äŊãŽįļæ
ãĢãĒããžã§ãįēįąããĻããå ´åããããæ¯åãĢã¤ãĒããã¨ããäēäžãåå¨ããžããããŖãĻãįŠčŗĒãå¤æ§ãĒįļæ
ãĢãããã¨ãĢãããååãŽæ¯åãŽįžčąĄã¯å¤åãããã¨ããããžãã | 193 | [{"from": "human", "value": "ååãŽæ¯åãĢã¤ããĻčĒŦæããĻãã ããã"}, {"from": "gpt", "value": "ååãŽæ¯åã¨ã¯ãååå
ãŽååéãŽį§ģåãĢããŖãĻãååãŽæ§é ãæ°ããå¤ããįžčąĄã§ããããŽæ¯åã¯ãååååĻįå¤åã¨įŠčŗĒãŽįŠæ§å¤åãŽä¸ĄæšãĢéĸããįžčąĄã§ãããã¨ãį¤ēãããĻããžããäžãã°ãįŠčŗĒãæļ˛äŊãŽįļæ
ãĢãĒããžã§ãįēįąããĻããå ´åããããæ¯åãĢã¤ãĒããã¨ããäēäžãåå¨ããžããããŖãĻãįŠčŗĒãå¤æ§ãĒįļæ
ãĢãããã¨ãĢãããååãŽæ¯åãŽįžčąĄã¯å¤åãããã¨ããããžãã"}] |
|
æéãæĸããããä¸įã§įããįˇåĨŗãŽãŠããšããŧãĒãŧãįįˇ¨å°čĒŦã¨ããĻæ¸ããĻãã ããã | æéã¯æĸãžãŖãĻãããåã¯éãã§äŊãčãããĒããäēäēēãŽäēããŽįŽãčĻã¤ãåãŖãã訹ãããĒãæã ãŖãããããããŽä¸įãĢã¯2äēēãŽæéããæĩããĻããĒãã | 111 | [{"from": "human", "value": "æéãæĸããããä¸įã§įããįˇåĨŗãŽãŠããšããŧãĒãŧãįįˇ¨å°čĒŦã¨ããĻæ¸ããĻãã ããã"}, {"from": "gpt", "value": "æéã¯æĸãžãŖãĻãããåã¯éãã§äŊãčãããĒããäēäēēãŽäēããŽįŽãčĻã¤ãåãŖãã訹ãããĒãæã ãŖãããããããŽä¸įãĢã¯2äēēãŽæéããæĩããĻããĒãã"}] |
|
ã¸ã§ãŗã¯ãįéŖ¯å¨ã§åŗåæąãįããããã¨č¨ãŖãĻããžããäŊããããããŽã§ããããīŧ | įéŖ¯å¨ã¯ãįąŗãįããããŽéå
ˇã§ãããåŗåæąãäŊããĢã¯éãäŊŋããŽãæŽéã§ãããžããåŗåæąãįããã¨ãã襨įžã¯ä¸čŦįãĢäŊŋããĒãããããããã¨č¨ããžãã | 112 | [{"from": "human", "value": "ã¸ã§ãŗã¯ãįéŖ¯å¨ã§åŗåæąãįããããã¨č¨ãŖãĻããžããäŊããããããŽã§ããããīŧ"}, {"from": "gpt", "value": "įéŖ¯å¨ã¯ãįąŗãįããããŽéå
ˇã§ãããåŗåæąãäŊããĢã¯éãäŊŋããŽãæŽéã§ãããžããåŗåæąãįããã¨ãã襨įžã¯ä¸čŦįãĢäŊŋããĒãããããããã¨č¨ããžãã"}] |
|
čĒįļã¨äēēéãŽįæ´ģãŽãĒãēã ãčĒŋåããĻããæ§åãæããã3čĄãŽįã芊ãäŊæããĻãã ããã | æ¨ã
ãčãčŊã¨ãæã
äēēã¯åŋãéããĢãã
čĒįļãŽãĒãēã ãĢå¯ãæˇģãã | 75 | [{"from": "human", "value": "čĒįļã¨äēēéãŽįæ´ģãŽãĒãēã ãčĒŋåããĻããæ§åãæããã3čĄãŽįã芊ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "æ¨ã
ãčãčŊã¨ãæã
äēēã¯åŋãéããĢãã
čĒįļãŽãĒãēã ãĢå¯ãæˇģãã"}] |
|
į°čãĢčĄãŖãĻčĒįļãĢč§ĻããįŠčĒãæ¸ããĻãã ããã | å¤äŧãŋãĢį°čãŽãã°ããĄãããŽåŽļãĢčĄããã¨ãĢãĒãŖãå°åš´ã¯ããã°ããĄããã¨ä¸įˇãĢå¤é
ããžã§æčĢããããæĨŊããã ãæããĒãã¨ãåˇãŽčŋããäŊããæãããŖããčĻãĻãŋãã¨å
ãéŖãã§ãããå°åš´ã¯éŠããããã°ããĄããã¯ãããã¯čã ããã¨č¨ãŖãã | 137 | [{"from": "human", "value": "į°čãĢčĄãŖãĻčĒįļãĢč§ĻããįŠčĒãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "å¤äŧãŋãĢį°čãŽãã°ããĄãããŽåŽļãĢčĄããã¨ãĢãĒãŖãå°åš´ã¯ããã°ããĄããã¨ä¸įˇãĢå¤é
ããžã§æčĢããããæĨŊããã ãæããĒãã¨ãåˇãŽčŋããäŊããæãããŖããčĻãĻãŋãã¨å
ãéŖãã§ãããå°åš´ã¯éŠããããã°ããĄããã¯ãããã¯čã ããã¨č¨ãŖãã"}] |
|
å¤ĒéŊã¨æãäŧ芹ããĻããįŠčĒãŽæåãŽ3čĄãäŊæããĻãã ããã | å¤ĒéŊīŧãæã¯ãã¤ãį§ãŽå寞å´ãĢããããŠãããã§ãį§ããĄã¯åŋ
ãåēäŧãããã ããã
æīŧãããããããŖã¨į§ããĄãŽčĻã¤ãåããããŽä¸įãå
ãããĻããããããĒããããīŧã
å¤ĒéŊīŧãããŖã¨ããã ãããį§ããĄã¯éãéĄãããĻããããŠãããŽä¸įãį
§ããã¨ããå
ąéãŽįŽįããããã ãã | 162 | [{"from": "human", "value": "å¤ĒéŊã¨æãäŧ芹ããĻããįŠčĒãŽæåãŽ3čĄãäŊæããĻãã ããã"}, {"from": "gpt", "value": "å¤ĒéŊīŧãæã¯ãã¤ãį§ãŽå寞å´ãĢããããŠãããã§ãį§ããĄã¯åŋ
ãåēäŧãããã ããã
æīŧãããããããŖã¨į§ããĄãŽčĻã¤ãåããããŽä¸įãå
ãããĻããããããĒããããīŧã
å¤ĒéŊīŧãããŖã¨ããã ãããį§ããĄã¯éãéĄãããĻããããŠãããŽä¸įãį
§ããã¨ããå
ąéãŽįŽįããããã ãã"}] |
|
åéã¨æãŽæãåēãčĒãåãŖãĻãããˇãŧãŗãæããæįĢ ãäŊæããĻãã ããã | ãããŽé ãį§ããĄã¯ãæŦåŊãĢįĄéĒæ°ã§ãäŊäēãĢãæããĒããŖããããã
ãããã ãŖãããããŽé ã¯ãæ¯æĨãåéēã ãŖããã
ãããŽæãããã§ããããããŽã¯ãæŦåŊãĢæĨŊãããŖãããã
ãæããããĒããããŽé ã¯ãããã大åĨŊãã ãŖããããã
åŊŧãã¯ãæãŽæãåē芹ãĢčąãå˛ãããįŦéĄãæĸãžããžããã§ããã | 177 | [{"from": "human", "value": "åéã¨æãŽæãåēãčĒãåãŖãĻãããˇãŧãŗãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "ãããŽé ãį§ããĄã¯ãæŦåŊãĢįĄéĒæ°ã§ãäŊäēãĢãæããĒããŖããããã
ãããã ãŖãããããŽé ã¯ãæ¯æĨãåéēã ãŖããã
ãããŽæãããã§ããããããŽã¯ãæŦåŊãĢæĨŊãããŖãããã
ãæããããĒããããŽé ã¯ãããã大åĨŊãã ãŖããããã
åŊŧãã¯ãæãŽæãåē芹ãĢčąãå˛ãããįŦéĄãæĸãžããžããã§ããã"}] |
|
åĻæĒãå¤įŠēãčãæ§åãæããæįĢ ãäŊæããĻãã ããã | å¤įŠēã¯ãæˇąãčč˛ãĢæãžããæēæãéããĢčĻåŽãŖãĻããžããã
ããŽéå¯ãį ´ããããĢãä¸åšãŽåĻæĒãįŠēãčããžããã
åĻæĒã¯ãåˇ¨å¤§ãĒéģæįŗãŽãããĒįŋŧãæãĄãããŽįŋŧãåēããã¨ãå¤įŠēãčĻããģãŠãŽå¤§ããã§ããã
å
¨čēĢãããåĻããå
ãįãįãįãŖãĻãããããŽįã¯ãå¤įŠēãĢčĩ¤ãįãæãããžãã§å¤ŠäŊãˇã§ãŧãŽããã§ããã
åĻæĒã¯ãéĸ¨ãĢäšãŖãĻãčĒįąčĒå¨ãĢįŠēãčããããŽå§ŋã¯ãįžãããæãããããŽã§ããã
ãããĻãåĻæĒã¯ãæãŽå
ãæĩ´ãŗãĒãããå¤įŠēãĢæļããĻãããžããã | 246 | [{"from": "human", "value": "åĻæĒãå¤įŠēãčãæ§åãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "å¤įŠēã¯ãæˇąãčč˛ãĢæãžããæēæãéããĢčĻåŽãŖãĻããžããã
ããŽéå¯ãį ´ããããĢãä¸åšãŽåĻæĒãįŠēãčããžããã
åĻæĒã¯ãåˇ¨å¤§ãĒéģæįŗãŽãããĒįŋŧãæãĄãããŽįŋŧãåēããã¨ãå¤įŠēãčĻããģãŠãŽå¤§ããã§ããã
å
¨čēĢãããåĻããå
ãįãįãįãŖãĻãããããŽįã¯ãå¤įŠēãĢčĩ¤ãįãæãããžãã§å¤ŠäŊãˇã§ãŧãŽããã§ããã
åĻæĒã¯ãéĸ¨ãĢäšãŖãĻãčĒįąčĒå¨ãĢįŠēãčããããŽå§ŋã¯ãįžãããæãããããŽã§ããã
ãããĻãåĻæĒã¯ãæãŽå
ãæĩ´ãŗãĒãããå¤įŠēãĢæļããĻãããžããã"}] |
|
ãĻãŧãļãŧãĢ大åãĒãã¨ãäŧãããã¨čããĻããå ´éĸãæãįŠčĒãŽæåãŽ5čĄãäŊæããĻãã ããã | å¤įŧããĢæãžãŖãįŠēãčĻä¸ããĒãããåŊŧåĨŗã¯ããæ¯ãã¤ããžããã
ããããäŊåš´ãč¨ããĻããĒãæ°ããããã
åŊŧåĨŗã¯ãįŽãŽåãŽįˇæ§ãŽéĄãããŖã¨čĻã¤ãã
ãããĒããĢäŧããããã¨ããããŽãã
ããč¨ãã¨ãåŊŧåĨŗã¯č¨čãéŖ˛ãŋčžŧãŋãåãŗæ˛éģãĢå
ãžããžããã | 163 | [{"from": "human", "value": "ãĻãŧãļãŧãĢ大åãĒãã¨ãäŧãããã¨čããĻããå ´éĸãæãįŠčĒãŽæåãŽ5čĄãäŊæããĻãã ããã"}, {"from": "gpt", "value": "å¤įŧããĢæãžãŖãįŠēãčĻä¸ããĒãããåŊŧåĨŗã¯ããæ¯ãã¤ããžããã
ããããäŊåš´ãč¨ããĻããĒãæ°ããããã
åŊŧåĨŗã¯ãįŽãŽåãŽįˇæ§ãŽéĄãããŖã¨čĻã¤ãã
ãããĒããĢäŧããããã¨ããããŽãã
ããč¨ãã¨ãåŊŧåĨŗã¯č¨čãéŖ˛ãŋčžŧãŋãåãŗæ˛éģãĢå
ãžããžããã"}] |
|
įģåčĒįĨãĢäŊŋį¨ããããĨãŧãŠãĢãããã¯ãŧã¯ãOpenCVã§åŽčŖ
ããĻãã ããã | ```python
import cv2
net = cv2.dnn.readNetFromCaffe('deploy.prototxt', 'weights.caffemodel')
image = cv2.imread('image.jpg')
blob = cv2.dnn.blobFromImage(image, 1.0, (224, 224), (104.0, 117.0, 123.0))
net.setInput(blob)
preds = net.forward()
``` | 282 | [{"from": "human", "value": "įģåčĒįĨãĢäŊŋį¨ããããĨãŧãŠãĢãããã¯ãŧã¯ãOpenCVã§åŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
import cv2
net = cv2.dnn.readNetFromCaffe('deploy.prototxt', 'weights.caffemodel')
image = cv2.imread('image.jpg')
blob = cv2.dnn.blobFromImage(image, 1.0, (224, 224), (104.0, 117.0, 123.0))
net.setInput(blob)
preds = net.forward()
```"}] |
|
äēēįãĢã¤ããĻæˇąãčãããããã芊ãäŊæããĻãã ããã | äēēįã¯æ
åãŗãæ˛ããŋã
ããšãĻãåĻãŗ
æĒæĨã¸ãŽéæ¨
äģã大åãĢ
æŠãŋįļããã | 65 | [{"from": "human", "value": "äēēįãĢã¤ããĻæˇąãčãããããã芊ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "äēēįã¯æ
åãŗãæ˛ããŋã
ããšãĻãåĻãŗ
æĒæĨã¸ãŽéæ¨
äģã大åãĢ
æŠãŋįļããã"}] |
|
åéã¨čŠąããĻããæãĢããã¤ãč¨ĒããĻãããåēãĢæģãŖããããĒæ°åãĢãĒãæ§åãæããæįĢ ãäŊæããĻãã ããã | ãæããããĒããããŽãåēãã
åéã¨æããæĨãåĢčļåēã§ããŗãŧããŧãéŖ˛ãŋãĒããããããĒ芹ãããžããã
įĒããåˇŽãčžŧãéŊå
ãåŖãĢéŖžãããįĩĩįģãããŧããĢãĢįŊŽãããį°įŋã
ãŠãããããŽé ã¨å¤ããŖãĻããžããã§ããã
ãžãã§ãæéãæĸãžãŖãĻããããŽããã
åéã¨ãŽäŧ芹ããæã¨å¤ããããæĨŊããæéãéãããĻããžããã | 203 | [{"from": "human", "value": "åéã¨čŠąããĻããæãĢããã¤ãč¨ĒããĻãããåēãĢæģãŖããããĒæ°åãĢãĒãæ§åãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "ãæããããĒããããŽãåēãã
åéã¨æããæĨãåĢčļåēã§ããŗãŧããŧãéŖ˛ãŋãĒããããããĒ芹ãããžããã
įĒããåˇŽãčžŧãéŊå
ãåŖãĢéŖžãããįĩĩįģãããŧããĢãĢįŊŽãããį°įŋã
ãŠãããããŽé ã¨å¤ããŖãĻããžããã§ããã
ãžãã§ãæéãæĸãžãŖãĻããããŽããã
åéã¨ãŽäŧ芹ããæã¨å¤ããããæĨŊããæéãéãããĻããžããã"}] |
|
夊æ°ãŽæ§åã襨įžããæãŽæčŠã10čĄæ¸ããĻãã ããã | įŠēãčĻä¸ããã°
é˛ãããŖããã¨æĩããĻãã
å¤ĒéŊãéĄããŽããã
渊ããå
ãéãæŗ¨ã
ããéĸ¨ãåšããĻ
æ¨ã
ãæēãã
å°éŗĨãæã
čąãå˛ãäšąãã
æĨãŽæ¯åšã
ããããã | 107 | [{"from": "human", "value": "夊æ°ãŽæ§åã襨įžããæãŽæčŠã10čĄæ¸ããĻãã ããã"}, {"from": "gpt", "value": "įŠēãčĻä¸ããã°
é˛ãããŖããã¨æĩããĻãã
å¤ĒéŊãéĄããŽããã
渊ããå
ãéãæŗ¨ã
ããéĸ¨ãåšããĻ
æ¨ã
ãæēãã
å°éŗĨãæã
čąãå˛ãäšąãã
æĨãŽæ¯åšã
ããããã"}] |
|
GensimãäŊŋį¨ããĻWord2VecãĸããĢãPythonã§åŽčŖ
ããåčĒãŽãģããŗããŖã¯ãšãŽéĸäŋãããŖãããŖããĻãã ããã | ```python
from gensim.models import Word2Vec
sentences = [['machine', 'learning'], ['deep', 'learning'], ['natural', 'language', 'processing']]
model = Word2Vec(sentences, vector_size=100, window=5, min_count=1, sg=0)
model.wv.most_similar('machine')
``` | 314 | [{"from": "human", "value": "GensimãäŊŋį¨ããĻWord2VecãĸããĢãPythonã§åŽčŖ
ããåčĒãŽãģããŗããŖã¯ãšãŽéĸäŋãããŖãããŖããĻãã ããã"}, {"from": "gpt", "value": "```python
from gensim.models import Word2Vec
sentences = [['machine', 'learning'], ['deep', 'learning'], ['natural', 'language', 'processing']]
model = Word2Vec(sentences, vector_size=100, window=5, min_count=1, sg=0)
model.wv.most_similar('machine')
```"}] |
|
é§
åã§åéã¨åž
ãĄåãããããĻãããˇãŧãŗãŽäŧ芹ãæ¸ããĻãã ããã | ããããåž
ãŖãĻããīŧã
ããããããĄããŖã¨é
ãããéģčģãé
åģļããĻãĻãã
ã大ä¸å¤Ģãį§ããĄããŖã¨åãĢįããã¨ããäģæĨã¯ãŠãčĄããŽīŧã
ãããã§ãæ°ãĢãĒãŖãĻããĢãã§ããããã ãčĄãŖãĻãŋãããīŧã
ããããīŧ æĨŊããŋīŧã | 138 | [{"from": "human", "value": "é§
åã§åéã¨åž
ãĄåãããããĻãããˇãŧãŗãŽäŧ芹ãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "ããããåž
ãŖãĻããīŧã
ããããããĄããŖã¨é
ãããéģčģãé
åģļããĻãĻãã
ã大ä¸å¤Ģãį§ããĄããŖã¨åãĢįããã¨ããäģæĨã¯ãŠãčĄããŽīŧã
ãããã§ãæ°ãĢãĒãŖãĻããĢãã§ããããã ãčĄãŖãĻãŋãããīŧã
ããããīŧ æĨŊããŋīŧã"}] |
|
åŊéįãĒčŖŊåã§ã¯ãč¨čĒįŋģč¨ŗãããåŋ
čĻã¨ãããžããTextBlobãäŊŋį¨ããĻãããšããįŋģč¨ŗããPythonéĸæ°ãåŽčŖ
ããĻãã ããã | ```python
from textblob import TextBlob
def translate_text(text, to_lang):
blob = TextBlob(text)
return blob.translate(to=to_lang)
# Example usage:
text = 'Hello World'
translated_text = translate_text(text, 'es')
print(translated_text)
``` | 314 | [{"from": "human", "value": "åŊéįãĒčŖŊåã§ã¯ãč¨čĒįŋģč¨ŗãããåŋ
čĻã¨ãããžããTextBlobãäŊŋį¨ããĻãããšããįŋģč¨ŗããPythonéĸæ°ãåŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
from textblob import TextBlob
def translate_text(text, to_lang):
blob = TextBlob(text)
return blob.translate(to=to_lang)
# Example usage:
text = 'Hello World'
translated_text = translate_text(text, 'es')
print(translated_text)
```"}] |
|
å
æãĸãĄãĒãĢã¸æ
įĢãŖãå¤Ēéã¸ãŽæį´ãæ¸ããĻãã ããã | å¤Ēéã¸ãäš
ããļãã ãããĸãĄãĒãĢã¯ãŠãīŧããŖãĄã¯į¸å¤ããããĩãŧã¯ãĢãĢčĄãŖããéŖ˛ãŋäŧčĄãŖããéãã§ã°ãŖããã ããå¤ĒéãĢäŧããĒããŽã¯å¯ããããŠããĸãĄãĒãĢã§ããšãąãŽãããŽãããŖã¨å¤ĸã ãŖãããããč¨čã¨ãéŖãšįŠã¯æ
Ŗãããžã§å¤§å¤ã ã¨æããããããŖãĄãããæĨæŦãŽéŖãšįŠãéããããĢããããåŋããã¨æãããŠãčŊãĄįãããéŖįĩĄãããã¨åŦãããĒãããã§ã¯ããžãæį´æ¸ããã | 202 | [{"from": "human", "value": "å
æãĸãĄãĒãĢã¸æ
įĢãŖãå¤Ēéã¸ãŽæį´ãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "å¤Ēéã¸ãäš
ããļãã ãããĸãĄãĒãĢã¯ãŠãīŧããŖãĄã¯į¸å¤ããããĩãŧã¯ãĢãĢčĄãŖããéŖ˛ãŋäŧčĄãŖããéãã§ã°ãŖããã ããå¤ĒéãĢäŧããĒããŽã¯å¯ããããŠããĸãĄãĒãĢã§ããšãąãŽãããŽãããŖã¨å¤ĸã ãŖãããããč¨čã¨ãéŖãšįŠã¯æ
Ŗãããžã§å¤§å¤ã ã¨æããããããŖãĄãããæĨæŦãŽéŖãšįŠãéããããĢããããåŋããã¨æãããŠãčŊãĄįãããéŖįĩĄãããã¨åŦãããĒãããã§ã¯ããžãæį´æ¸ããã"}] |
|
ãčļäŧãĢåå ããåĒé
ãĒãæ¯ãããŽæ§åãæããæįĢ ãäŊæããĻãã ããã | åŊŧåĨŗã¯ãä¸åãĒįįŠå§ŋã§ããčļäŧãĢč¨ãã§ããžããã
įžããįįŠã¯ãåŊŧåĨŗãŽæ°åã¨åĒé
ããéįĢãããå¨å˛ãŽäēēã
ãé
äēããĻããžããã
åŊŧåĨŗã¯ãããŖããã¨ããããååŧˇããčļãįšãĻãããŽæäŊã¯ããžããĢč¸čĄãŽããã§ããã
åŊŧåĨŗã¯ããčļãŽéĻããĢå
ãžããĒãããäŧ芹ãĢčąãå˛ãããåĒé
ãĒæéãéãããĻããžããã | 179 | [{"from": "human", "value": "ãčļäŧãĢåå ããåĒé
ãĒãæ¯ãããŽæ§åãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "åŊŧåĨŗã¯ãä¸åãĒįįŠå§ŋã§ããčļäŧãĢč¨ãã§ããžããã
įžããįįŠã¯ãåŊŧåĨŗãŽæ°åã¨åĒé
ããéįĢãããå¨å˛ãŽäēēã
ãé
äēããĻããžããã
åŊŧåĨŗã¯ãããŖããã¨ããããååŧˇããčļãįšãĻãããŽæäŊã¯ããžããĢč¸čĄãŽããã§ããã
åŊŧåĨŗã¯ããčļãŽéĻããĢå
ãžããĒãããäŧ芹ãĢčąãå˛ãããåĒé
ãĒæéãéãããĻããžããã"}] |
|
2äēēãäŧ芹ãããå ´éĸãæããĻãã ããã | ããããéąæĢã¯äŊãããīŧã
ãããŧãããžã äŊãæąēãžãŖãĻãĒããäŊãããæĄããīŧã
ãæ įģčĻãĢčĄããĒãīŧã
ããããīŧ ãŠããĒæ įģãããīŧã
ãæčŋ芹éĄãŽãããŖãĻæ įģãéĸįŊããã ãīŧã | 109 | [{"from": "human", "value": "2äēēãäŧ芹ãããå ´éĸãæããĻãã ããã"}, {"from": "gpt", "value": "ããããéąæĢã¯äŊãããīŧã
ãããŧãããžã äŊãæąēãžãŖãĻãĒããäŊãããæĄããīŧã
ãæ įģčĻãĢčĄããĒãīŧã
ããããīŧ ãŠããĒæ įģãããīŧã
ãæčŋ芹éĄãŽãããŖãĻæ įģãéĸįŊããã ãīŧã"}] |
|
å¯åŖĢåąąã¨éå˛ĄãŽį Ļãčå°ãĢãããåŖŽįĩļãĒæĻããæããæįĢ ãäŊæããĻãã ããã | é大ãĒå¯åŖĢåąąãčãĢãéå˛ĄãŽį ĻãããŗãįĢãŖãĻããžããã
į ĻãŽå¨ããĢã¯ãæĩčģãŽå
ĩåŖĢããĄãéįĩããįˇčŋĢããįŠēæ°ãæŧãŖãĻããžããã
į ĻãåŽãå
ĩåŖĢããĄã¯ãåįææĸãĢæĻããæĩčģãŽæģæãåãæĸããžããã
ããããæĩčģã¯å§åįãĒå
ĩåã§æģãå¯ããį Ļã¯æŦĄįŦŦãĢčŋŊã芰ããããĻãããžããã
į ĻãŽå
ĩåŖĢããĄã¯ãæåžãŽåãæ¯ãįĩããæĩčģãĢįĢãĄåãããžããã
æĻãã¯ãå¤éãįļããæãæšãĢã¯ãį Ļã¯įãĢå
ãžããžããã
ããããį ĻãŽå
ĩåŖĢããĄã¯ãæåžãžã§æĻãæããæĩčģãĢ大ããĒæåŽŗãä¸ããžããã
ããŽæĻãã¯ãæ´å˛ãĢčĒãįļããããåŖŽįĩļãĒæĻãã¨ãĒããžããã | 293 | [{"from": "human", "value": "å¯åŖĢåąąã¨éå˛ĄãŽį Ļãčå°ãĢãããåŖŽįĩļãĒæĻããæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "é大ãĒå¯åŖĢåąąãčãĢãéå˛ĄãŽį ĻãããŗãįĢãŖãĻããžããã
į ĻãŽå¨ããĢã¯ãæĩčģãŽå
ĩåŖĢããĄãéįĩããįˇčŋĢããįŠēæ°ãæŧãŖãĻããžããã
į ĻãåŽãå
ĩåŖĢããĄã¯ãåįææĸãĢæĻããæĩčģãŽæģæãåãæĸããžããã
ããããæĩčģã¯å§åįãĒå
ĩåã§æģãå¯ããį Ļã¯æŦĄįŦŦãĢčŋŊã芰ããããĻãããžããã
į ĻãŽå
ĩåŖĢããĄã¯ãæåžãŽåãæ¯ãįĩããæĩčģãĢįĢãĄåãããžããã
æĻãã¯ãå¤éãįļããæãæšãĢã¯ãį Ļã¯įãĢå
ãžããžããã
ããããį ĻãŽå
ĩåŖĢããĄã¯ãæåžãžã§æĻãæããæĩčģãĢ大ããĒæåŽŗãä¸ããžããã
ããŽæĻãã¯ãæ´å˛ãĢčĒãįļããããåŖŽįĩļãĒæĻãã¨ãĒããžããã"}] |
|
3äēēãäŧ芹ãããå ´éĸãæããĻãã ããã | ãäģæĨã¯ããããĢčĄãããīŧã
ããããīŧ ãããä¸įˇãĢčĄãīŧã
ãį§ãčĄãīŧ æĨŊããŋīŧã | 63 | [{"from": "human", "value": "3äēēãäŧ芹ãããå ´éĸãæããĻãã ããã"}, {"from": "gpt", "value": "ãäģæĨã¯ããããĢčĄãããīŧã
ããããīŧ ãããä¸įˇãĢčĄãīŧã
ãį§ãčĄãīŧ æĨŊããŋīŧã"}] |
|
åŊŧåĨŗã¯įžå¨ãå°åĻæ Ą2åš´įã§ããåæĨãããŽã¯äŊåš´åžã§ããīŧ | æĨæŦã§ã¯ä¸čŦįãĢã¯å°åĻæ ĄãĢ6åš´ééããžããããŖãĻãåæĨãããŽã¯4åš´åžã§ãã | 65 | [{"from": "human", "value": "åŊŧåĨŗã¯įžå¨ãå°åĻæ Ą2åš´įã§ããåæĨãããŽã¯äŊåš´åžã§ããīŧ"}, {"from": "gpt", "value": "æĨæŦã§ã¯ä¸čŦįãĢã¯å°åĻæ ĄãĢ6åš´ééããžããããŖãĻãåæĨãããŽã¯4åš´åžã§ãã"}] |
|
æãŽåŊįããå¤åŊããæĨãäŊŋč
ã¨ãŽåēäŧããæããįŠčĒãæ¸ããĻãã ããã | æã
ãããåŊãŽåŊįã¯ãå¤åŊããæĨãäŊŋč
ãĢåēäŧããžããã
äŊŋč
ã¯ãåŊįãĢãčĒåãŽåŊãããŽč´ãįŠã¨ããĻãįžããåŽįŗãåˇŽãåēããžããã
åŊįã¯ãããŽåŽįŗãŽįžãããĢåŋãåĨĒãããäŊŋč
ãĢæčŦãŽč¨čãčŋ°ãšãžããã
äŊŋč
ã¯ãåŊįãĢãčĒåãŽåŊã¨ååĨŊéĸäŋãį¯ãããã¨ããéĄããäŧããžããã
åŊįã¯ãäŊŋč
ãŽįŗãåēãåãå
Ĩããäēã¤ãŽåŊã¯ååĨŊéĸäŋãįĩãļãã¨ãĢãĒããžããã
ãããĻãããŽåŽįŗã¯ãåŊįãŽåŽįŠã¨ããĻã大åãĢäŋįŽĄããããã¨ãĢãĒããžããã | 243 | [{"from": "human", "value": "æãŽåŊįããå¤åŊããæĨãäŊŋč
ã¨ãŽåēäŧããæããįŠčĒãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "æã
ãããåŊãŽåŊįã¯ãå¤åŊããæĨãäŊŋč
ãĢåēäŧããžããã
äŊŋč
ã¯ãåŊįãĢãčĒåãŽåŊãããŽč´ãįŠã¨ããĻãįžããåŽįŗãåˇŽãåēããžããã
åŊįã¯ãããŽåŽįŗãŽįžãããĢåŋãåĨĒãããäŊŋč
ãĢæčŦãŽč¨čãčŋ°ãšãžããã
äŊŋč
ã¯ãåŊįãĢãčĒåãŽåŊã¨ååĨŊéĸäŋãį¯ãããã¨ããéĄããäŧããžããã
åŊįã¯ãäŊŋč
ãŽįŗãåēãåãå
Ĩããäēã¤ãŽåŊã¯ååĨŊéĸäŋãįĩãļãã¨ãĢãĒããžããã
ãããĻãããŽåŽįŗã¯ãåŊįãŽåŽįŠã¨ããĻã大åãĢäŋįŽĄããããã¨ãĢãĒããžããã"}] |
|
äģæĨãŽå¤Šæ°äēå ąãĢã¤ããĻãŽãŠã¸ãĒįĒįĩãæŧåēããĻãã ããã | ãįæ§ããã¯ããããããžãīŧæãŽå¤Šæ°äēå ąããåąãããžãã
æŦæĨãŽæąäēŦã¯ãæããæ´ãæ¸ĄããæéĢæ°æ¸Šã24âã¨éãããããä¸æĨã¨ãĒãã§ãããã
ä¸æšã大éĒã¯æãįŠēã§ãååžãĢã¯é¨ãŽéãå¯čŊæ§ããããžããåããåŋããĒãã
ããã§ã¯ãįæ§ãĢã¨ãŖãĻį´ æĩãĒä¸æĨã¨ãĒããžããããĢīŧã | 175 | [{"from": "human", "value": "äģæĨãŽå¤Šæ°äēå ąãĢã¤ããĻãŽãŠã¸ãĒįĒįĩãæŧåēããĻãã ããã"}, {"from": "gpt", "value": "ãįæ§ããã¯ããããããžãīŧæãŽå¤Šæ°äēå ąããåąãããžãã
æŦæĨãŽæąäēŦã¯ãæããæ´ãæ¸ĄããæéĢæ°æ¸Šã24âã¨éãããããä¸æĨã¨ãĒãã§ãããã
ä¸æšã大éĒã¯æãįŠēã§ãååžãĢã¯é¨ãŽéãå¯čŊæ§ããããžããåããåŋããĒãã
ããã§ã¯ãįæ§ãĢã¨ãŖãĻį´ æĩãĒä¸æĨã¨ãĒããžããããĢīŧã"}] |
|
æ¯čĻĒãæįãäŊãŖãĻããæ§åããįžå¨é˛čĄåŊĸã§æåããæįĢ ãäŊæããĻãã ããã | ãæ¯ããã¯ãããããŗã§ãäģæĨãŽå¤éŖãŽæēåãããĻããžãã
åŊŧåĨŗã¯ãããŠã¤ããŗãĢæ˛šãã˛ããįąããã¨ãããĢããŋããåããĢããįããã¨ããŗãã¯ãå
Ĩããžãã
ãããĻãéļčãįããé¤æ˛šãį įŗãé
ãå ããĻããããĢįããžãã
ããéĻããæŧãå§ããžããã
ãäģæĨã¯ããŋããĒ大åĨŊããĒéļčãŽįãįŠãīŧã
ãæ¯ããã¯ãįŦéĄã§ããč¨ããžããã | 195 | [{"from": "human", "value": "æ¯čĻĒãæįãäŊãŖãĻããæ§åããįžå¨é˛čĄåŊĸã§æåããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "ãæ¯ããã¯ãããããŗã§ãäģæĨãŽå¤éŖãŽæēåãããĻããžãã
åŊŧåĨŗã¯ãããŠã¤ããŗãĢæ˛šãã˛ããįąããã¨ãããĢããŋããåããĢããįããã¨ããŗãã¯ãå
Ĩããžãã
ãããĻãéļčãįããé¤æ˛šãį įŗãé
ãå ããĻããããĢįããžãã
ããéĻããæŧãå§ããžããã
ãäģæĨã¯ããŋããĒ大åĨŊããĒéļčãŽįãįŠãīŧã
ãæ¯ããã¯ãįŦéĄã§ããč¨ããžããã"}] |
|
įŠēãčĻä¸ããæãĢæãæĩŽããļįŠčĒãæ¸ããĻãã ããã | įŠēãčĻä¸ããã¨ãé˛ãæĩããĻããã
ããŽé˛ãŽåŊĸã¯ãžãã§įŠēãĢæãããįĩĩã
åéēč
ã¯ãįŠēãéŖãļčšãĢäšããæĩˇãæ¸Ąããåąąčãčļããæ§ã
ãĒå°éŖãäšãčļãæ°ããĒįēčĻãããĻããã
ãããĻãåŊŧã¯ã¤ããĢãčĒ°ãčĻããã¨ãŽãĒãæĨŊåã¸ã¨ããŠãįãã | 135 | [{"from": "human", "value": "įŠēãčĻä¸ããæãĢæãæĩŽããļįŠčĒãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "įŠēãčĻä¸ããã¨ãé˛ãæĩããĻããã
ããŽé˛ãŽåŊĸã¯ãžãã§įŠēãĢæãããįĩĩã
åéēč
ã¯ãįŠēãéŖãļčšãĢäšããæĩˇãæ¸Ąããåąąčãčļããæ§ã
ãĒå°éŖãäšãčļãæ°ããĒįēčĻãããĻããã
ãããĻãåŊŧã¯ã¤ããĢãčĒ°ãčĻããã¨ãŽãĒãæĨŊåã¸ã¨ããŠãįãã"}] |
|
åéååŖĢãããŧãĢãæãåãŖãĻéãļãˇãŧãŗãæããæįĢ ãäŊæããĻãã ããã | å
ŦåãŽčįãŽä¸ã§ãäēäēēã¯ããŧãĢãæãåããŖãããĻããžããã
ãčĄããīŧã
ä¸äēēãããåĢãļã¨ãããä¸äēēã¯ããŧãĢãéĢãæãä¸ããžããã
ããŧãĢã¯ãéįŠēãåŧ§ãæããĻéŖãŗãå¤ĒéŊãŽå
ãĢčŧããĻããžããã
äēäēēã¯ãããŧãĢãčŋŊããããįŦãåŖ°ãä¸ããĻčĩ°ãåãŖãĻããžããã
åŊŧããŽå§ŋã¯ããžãã§åäžãĢæģãŖããããĢãįĄéĒæ°ã§æĨŊãããã§ãčĻãĻããããĄããįŦéĄãĢãĒããžããã | 208 | [{"from": "human", "value": "åéååŖĢãããŧãĢãæãåãŖãĻéãļãˇãŧãŗãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "å
ŦåãŽčįãŽä¸ã§ãäēäēēã¯ããŧãĢãæãåããŖãããĻããžããã
ãčĄããīŧã
ä¸äēēãããåĢãļã¨ãããä¸äēēã¯ããŧãĢãéĢãæãä¸ããžããã
ããŧãĢã¯ãéįŠēãåŧ§ãæããĻéŖãŗãå¤ĒéŊãŽå
ãĢčŧããĻããžããã
äēäēēã¯ãããŧãĢãčŋŊããããįŦãåŖ°ãä¸ããĻčĩ°ãåãŖãĻããžããã
åŊŧããŽå§ŋã¯ããžãã§åäžãĢæģãŖããããĢãįĄéĒæ°ã§æĨŊãããã§ãčĻãĻããããĄããįŦéĄãĢãĒããžããã"}] |
|
夊æ°ãĢã¤ããĻ芹ãåéååŖĢãŽäŧ芹ãæ¸ããĻãã ãããä¸äēēã¯å¤Šæ°ãĢčåŗããããããä¸äēēã¯äģæĨãŽå¤Šæ°ãäēæ¸ŦããĻããžãã | ããããäģæĨãŽã夊æ°ãŠãããĒīŧã
ãããŧããããļãæ´ãã ã¨æãããæã¯ãĄããŖã¨æãŖãĻãããŠãäģã¯ããé˛ããĒããĒãŖãĻãããã
ããããŖãīŧ äģæĨã¯ãã¯ããã¯ãĢčĄãäēåŽãĒãã ãã
ããããīŧ æĨŊããã§ãīŧã | 156 | [{"from": "human", "value": "夊æ°ãĢã¤ããĻ芹ãåéååŖĢãŽäŧ芹ãæ¸ããĻãã ãããä¸äēēã¯å¤Šæ°ãĢčåŗããããããä¸äēēã¯äģæĨãŽå¤Šæ°ãäēæ¸ŦããĻããžãã"}, {"from": "gpt", "value": "ããããäģæĨãŽã夊æ°ãŠãããĒīŧã
ãããŧããããļãæ´ãã ã¨æãããæã¯ãĄããŖã¨æãŖãĻãããŠãäģã¯ããé˛ããĒããĒãŖãĻãããã
ããããŖãīŧ äģæĨã¯ãã¯ããã¯ãĢčĄãäēåŽãĒãã ãã
ããããīŧ æĨŊããã§ãīŧã"}] |
|
ããĒãã大äēēãĢãĒãŖãĻæåãĢ財ãããããŽãæŗåããããŽįįąãč¨čŋ°ããĻãã ããã | į§ã大äēēãĢãĒãŖãĻæåãĢ財ãããããŽã¯ãä¸įä¸å¨æ
čĄã§ãã
åäžãŽé ãããč˛ã
ãĒåŊãĢčĄãŖãĻãč˛ã
ãĒæåãĢč§ĻããĻãŋããã¨æãŖãĻããžããã
ãããĻãč˛ã
ãĒäēēã¨åēäŧããč˛ã
ãĒįĩé¨ãããĻãčĒåčĒčēĢãŽæéˇãĢįšãããã¨æãŖãĻããžãã | 155 | [{"from": "human", "value": "ããĒãã大äēēãĢãĒãŖãĻæåãĢ財ãããããŽãæŗåããããŽįįąãč¨čŋ°ããĻãã ããã"}, {"from": "gpt", "value": "į§ã大äēēãĢãĒãŖãĻæåãĢ財ãããããŽã¯ãä¸įä¸å¨æ
čĄã§ãã
åäžãŽé ãããč˛ã
ãĒåŊãĢčĄãŖãĻãč˛ã
ãĒæåãĢč§ĻããĻãŋããã¨æãŖãĻããžããã
ãããĻãč˛ã
ãĒäēēã¨åēäŧããč˛ã
ãĒįĩé¨ãããĻãčĒåčĒčēĢãŽæéˇãĢįšãããã¨æãŖãĻããžãã"}] |
|
éæŗãŽåãå¤ąãŖãéæŗäŊŋãããåē大ãĒæŖŽãæŠããĒãããåãåãæģããããŽæ
ãããįŠčĒãæ¸ããĻãã ããã | ãã¤ãĻãåŊŧåĨŗã¯æŖŽãčĒįąãĢé§ãåˇĄããéæŗã§čąãå˛ãããåįŠããĄã¨čĒãåããåŧˇåãĒéæŗäŊŋãã§ããã
ããããããæĨãåŊŧåĨŗã¯įĒįļéæŗãŽåãå¤ąãŖãĻããžããžããã
åŊŧåĨŗã¯ãå¤ąãããåãåãæģããããåē大ãĒæŖŽãæŠãå§ããžããã
æ
ãŽéä¸ã§ãåŊŧåĨŗã¯ãæŖŽãŽį˛žéãåįŠããĄã¨åēäŧããåŊŧããŽåãåããĒãããåãå垊ãããĻãããžããã
ãããĻãã¤ããĢåŊŧåĨŗã¯ãæŖŽãŽåĨĨæˇąããĢé ãããéæŗãŽæŗãįēčĻããžããã
åŊŧåĨŗã¯ãæŗãŽæ°´ãéŖ˛ããã¨ã§ãå¤ąãããéæŗãŽåãåãæģããåãŗæŖŽãŽåŽčˇč
ã¨ããĻæ´ģčēãããããĢãĒãŖããŽã§ãã | 292 | [{"from": "human", "value": "éæŗãŽåãå¤ąãŖãéæŗäŊŋãããåē大ãĒæŖŽãæŠããĒãããåãåãæģããããŽæ
ãããįŠčĒãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "ãã¤ãĻãåŊŧåĨŗã¯æŖŽãčĒįąãĢé§ãåˇĄããéæŗã§čąãå˛ãããåįŠããĄã¨čĒãåããåŧˇåãĒéæŗäŊŋãã§ããã
ããããããæĨãåŊŧåĨŗã¯įĒįļéæŗãŽåãå¤ąãŖãĻããžããžããã
åŊŧåĨŗã¯ãå¤ąãããåãåãæģããããåē大ãĒæŖŽãæŠãå§ããžããã
æ
ãŽéä¸ã§ãåŊŧåĨŗã¯ãæŖŽãŽį˛žéãåįŠããĄã¨åēäŧããåŊŧããŽåãåããĒãããåãå垊ãããĻãããžããã
ãããĻãã¤ããĢåŊŧåĨŗã¯ãæŖŽãŽåĨĨæˇąããĢé ãããéæŗãŽæŗãįēčĻããžããã
åŊŧåĨŗã¯ãæŗãŽæ°´ãéŖ˛ããã¨ã§ãå¤ąãããéæŗãŽåãåãæģããåãŗæŖŽãŽåŽčˇč
ã¨ããĻæ´ģčēãããããĢãĒãŖããŽã§ãã"}] |
|
夊äŊãĢã¤ããĻãŽčŠŠã10čĄæ¸ããĻãã ããã | å¤įŠēãĢčŧã
æã
ãŽå
ã
åŋãæšãã¤ãã
åŽåŽãŽåē大ããĢ
įæŦãŽåŋĩãæąã
éæ˛ŗįŗģãŽä¸ã
ææãåˇĄã
įåŊãŽčĩˇæēãæĸã
įĨį§ãĢæēãĄã
夊äŊããĄãŽįŠčĒ | 92 | [{"from": "human", "value": "夊äŊãĢã¤ããĻãŽčŠŠã10čĄæ¸ããĻãã ããã"}, {"from": "gpt", "value": "å¤įŠēãĢčŧã
æã
ãŽå
ã
åŋãæšãã¤ãã
åŽåŽãŽåē大ããĢ
įæŦãŽåŋĩãæąã
éæ˛ŗįŗģãŽä¸ã
ææãåˇĄã
įåŊãŽčĩˇæēãæĸã
įĨį§ãĢæēãĄã
夊äŊããĄãŽįŠčĒ"}] |
|
ãããĢãŊãŧãã¨ã¯ã¤ãã¯ãŊãŧããŽéããčĒŦæããĻãã ããã | ãããĢãŊãŧãã¨ã¯ã¤ãã¯ãŊãŧãã¯ä¸ĻãšæŋããĸãĢã´ãĒãēã ãŽīŧã¤ãŽåŊĸã§ãããããããį¨ŽéĄã¨įšåž´ãį°ãĒãŖãĻããžãããããĢãŊãŧãã¯ãéŖãåãŖãīŧã¤ãŽčĻį´ ãä¸Ļãšæŋãããã¨ã§ãæã大ããĒčĻį´ ãæĢå°žãĢãããåšæãåžãĻãé
åãä¸ĻãšæŋããžãããããĢãŊãŧãã¯ãããŧãŋãŽå¤§ãããæ¯čŧįå°ãããåæãĢä¸Ļãšæŋããåŋ
čĻãĒåæ°ãéãããĻããã¨ããĢæãæį¨ã§ãã ã¯ã¤ãã¯ãŊãŧãã¯ãé
åãåå˛ããĻãåãé
åããīŧã¤ãŽãĩããĸãŦã¤ãäŊæãããããĢäŊŋį¨ãããžããã¯ã¤ãã¯ãŊãŧãã¯ã大éããŧãŋãä¸ĻãšæŋããéãĢäžŋåŠã§ãã | 264 | [{"from": "human", "value": "ãããĢãŊãŧãã¨ã¯ã¤ãã¯ãŊãŧããŽéããčĒŦæããĻãã ããã"}, {"from": "gpt", "value": "ãããĢãŊãŧãã¨ã¯ã¤ãã¯ãŊãŧãã¯ä¸ĻãšæŋããĸãĢã´ãĒãēã ãŽīŧã¤ãŽåŊĸã§ãããããããį¨ŽéĄã¨įšåž´ãį°ãĒãŖãĻããžãããããĢãŊãŧãã¯ãéŖãåãŖãīŧã¤ãŽčĻį´ ãä¸Ļãšæŋãããã¨ã§ãæã大ããĒčĻį´ ãæĢå°žãĢãããåšæãåžãĻãé
åãä¸ĻãšæŋããžãããããĢãŊãŧãã¯ãããŧãŋãŽå¤§ãããæ¯čŧįå°ãããåæãĢä¸Ļãšæŋããåŋ
čĻãĒåæ°ãéãããĻããã¨ããĢæãæį¨ã§ãã ã¯ã¤ãã¯ãŊãŧãã¯ãé
åãåå˛ããĻãåãé
åããīŧã¤ãŽãĩããĸãŦã¤ãäŊæãããããĢäŊŋį¨ãããžããã¯ã¤ãã¯ãŊãŧãã¯ã大éããŧãŋãä¸ĻãšæŋããéãĢäžŋåŠã§ãã"}] |
|
æŖŽãŽä¸ã§éŗæĨŊãåĨã§ãäēäēēãŽæäēēãŽæ§åãæããæįĢ ãäŊæããĻãã ããã | æŖŽãŽä¸ã§ãäēäēēãŽæäēēããŽãŋãŧãåĨã§ãĻããžããã
åŊŧããŽåĨã§ãéŗæĨŊã¯ãæŖŽãŽä¸ãĢéŋãæ¸ĄããéŗĨããĄãæåŖ°ãåãããĻããžããã
åŊŧãã¯ãäēããĢčĻã¤ãåããĒãããåŋãčžŧããĻéŗæĨŊãåĨã§ãĻããžããã
åŊŧããŽéŗæĨŊã¯ãæŖŽãŽä¸ãĢãæã¨å¸æãåĨã§ãĻããžããã | 152 | [{"from": "human", "value": "æŖŽãŽä¸ã§éŗæĨŊãåĨã§ãäēäēēãŽæäēēãŽæ§åãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "æŖŽãŽä¸ã§ãäēäēēãŽæäēēããŽãŋãŧãåĨã§ãĻããžããã
åŊŧããŽåĨã§ãéŗæĨŊã¯ãæŖŽãŽä¸ãĢéŋãæ¸ĄããéŗĨããĄãæåŖ°ãåãããĻããžããã
åŊŧãã¯ãäēããĢčĻã¤ãåããĒãããåŋãčžŧããĻéŗæĨŊãåĨã§ãĻããžããã
åŊŧããŽéŗæĨŊã¯ãæŖŽãŽä¸ãĢãæã¨å¸æãåĨã§ãĻããžããã"}] |
|
įŠēéŖãļįĢãĢéĸããåé ãŽčŠŠãäŊæããĻãã ããã | å¤įŠēãé§ããã
æåąããžã¨ãŖãįĢãã
éĸ¨ãĢäšãŖãĻéŖãã§ããã | 60 | [{"from": "human", "value": "įŠēéŖãļįĢãĢéĸããåé ãŽčŠŠãäŊæããĻãã ããã"}, {"from": "gpt", "value": "å¤įŠēãé§ããã
æåąããžã¨ãŖãįĢãã
éĸ¨ãĢäšãŖãĻéŖãã§ããã"}] |
|
ãããããäēēéãæäŊããįįąãĢã¤ããĻã3čĄãŽčĒŦæãäŊæããĻãã ããã | ããããã¯ãäēēéãŽčĄåãįč§ŖãããããĢã
äēēéãŽčēĢäŊãæäŊãã
äēēéãŽä¸įãäŊé¨ãããã¨ããĻããžãã | 84 | [{"from": "human", "value": "ãããããäēēéãæäŊããįįąãĢã¤ããĻã3čĄãŽčĒŦæãäŊæããĻãã ããã"}, {"from": "gpt", "value": "ããããã¯ãäēēéãŽčĄåãįč§ŖãããããĢã
äēēéãŽčēĢäŊãæäŊãã
äēēéãŽä¸įãäŊé¨ãããã¨ããĻããžãã"}] |
|
įģååĻįãčĄãŖãĻãŋãžãããããšããŠã¤ããåčģĸãããæĄå¤§į¸Žå°ããéĸæ°ãåŽčŖ
ããĻãã ããã | ```python
import pyglet
image = pyglet.image.load('example.png')
sprite = pyglet.sprite.Sprite(image)
sprite.rotation = 45
sprite.scale = 1.5
window = pyglet.window.Window()
@window.event
def on_draw():
window.clear()
sprite.draw()
pyglet.app.run()
``` | 306 | [{"from": "human", "value": "įģååĻįãčĄãŖãĻãŋãžãããããšããŠã¤ããåčģĸãããæĄå¤§į¸Žå°ããéĸæ°ãåŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
import pyglet
image = pyglet.image.load('example.png')
sprite = pyglet.sprite.Sprite(image)
sprite.rotation = 45
sprite.scale = 1.5
window = pyglet.window.Window()
@window.event
def on_draw():
window.clear()
sprite.draw()
pyglet.app.run()
```"}] |
|
NLTKLibraryãäŊŋį¨ããĻãˇãŗããĢãĒããŖããããããPythonã§åŽčŖ
ããĻãã ããã | ```python
import nltk
from nltk.chat.util import Chat, reflections
pairs = [(r'hi', 'hello'), (r'how are you', 'I am fine')]
chatbot = Chat(pairs, reflections)
chatbot.converse()
``` | 227 | [{"from": "human", "value": "NLTKLibraryãäŊŋį¨ããĻãˇãŗããĢãĒããŖããããããPythonã§åŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
import nltk
from nltk.chat.util import Chat, reflections
pairs = [(r'hi', 'hello'), (r'how are you', 'I am fine')]
chatbot = Chat(pairs, reflections)
chatbot.converse()
```"}] |
|
čĒįļãéĄæãĢããäŋŗåĨãæ¸ããĻãã ããã | æ¨ã
ãããéĸ¨
čãæēããéŗããããã
æĨãŽæ¯åšããĒ | 44 | [{"from": "human", "value": "čĒįļãéĄæãĢããäŋŗåĨãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "æ¨ã
ãããéĸ¨
čãæēããéŗããããã
æĨãŽæ¯åšããĒ"}] |
|
ããŽåĢčļåēã§ã¯é常ãĢįžåŗããããšãŋãæäžããĻããžãããããåŽĸãŽä¸äēēãã¯ãŦãŧã ãã¤ããĻããžãããŠããĒįįąãčããããžããīŧ | ããŽåŽĸãæŗ¨æããååã¨æäžãããååãį°ãĒãŖãĻãããã¨ããæäžãĢéˇãæéããããŖããã¨ãĒãŠãčããããžãã | 113 | [{"from": "human", "value": "ããŽåĢčļåēã§ã¯é常ãĢįžåŗããããšãŋãæäžããĻããžãããããåŽĸãŽä¸äēēãã¯ãŦãŧã ãã¤ããĻããžãããŠããĒįįąãčããããžããīŧ"}, {"from": "gpt", "value": "ããŽåŽĸãæŗ¨æããååã¨æäžãããååãį°ãĒãŖãĻãããã¨ããæäžãĢéˇãæéããããŖããã¨ãĒãŠãčããããžãã"}] |
|
æĩˇãč¸ãŋãããåˇ¨å¤§ãĒåˇ¨äēēãŽæ§åãæããæįĢ ãäŊæããĻãã ããã | åˇ¨å¤§ãĒåˇ¨äēēã¯ãæĩˇãč¸ãŋãããĻæŠããĻããžããã
åŊŧãŽčļŗ补ã¯ãæĩˇéĸã大ããæēãããæŗĸãæŧãå¯ããžããã
åŊŧãŽäŊã¯ãåąąãŽãããĢ大ãããããŽå§ŋã¯ããžããĢįæãŽåŋĩãæąãããããŽã§ããã
åŊŧã¯ãæĩˇãŽæ¯é
č
ã¨ããĻãããŽæĩˇãæãįŠéĄãĢæŠããĻããžããã | 148 | [{"from": "human", "value": "æĩˇãč¸ãŋãããåˇ¨å¤§ãĒåˇ¨äēēãŽæ§åãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "åˇ¨å¤§ãĒåˇ¨äēēã¯ãæĩˇãč¸ãŋãããĻæŠããĻããžããã
åŊŧãŽčļŗ补ã¯ãæĩˇéĸã大ããæēãããæŗĸãæŧãå¯ããžããã
åŊŧãŽäŊã¯ãåąąãŽãããĢ大ãããããŽå§ŋã¯ããžããĢįæãŽåŋĩãæąãããããŽã§ããã
åŊŧã¯ãæĩˇãŽæ¯é
č
ã¨ããĻãããŽæĩˇãæãįŠéĄãĢæŠããĻããžããã"}] |
|
2050åš´ãŽå°æĨãŽéŊå¸ãčå°ãĢãããäēēã
ãæąããã§ãããčŗĒåã3ã¤äŊæããĻãã ããã | 1. ããĒããŽéŊå¸ã§ã¯ãã¨ããĢãŽãŧã¯ãŠãŽãããĢäžįĩĻãããĻããžããīŧ
2. äēēåˇĨįĨčŊã¨äēēéãŽå
ąåã¯ããŠãŽãããĢåŽįžããĻããžããīŧ
3. å°įå¤įåŊäŊã¨ãŽééã¯ããŠãŽãããĢ寞åŋãããŽã§ããããīŧ | 137 | [{"from": "human", "value": "2050åš´ãŽå°æĨãŽéŊå¸ãčå°ãĢãããäēēã
ãæąããã§ãããčŗĒåã3ã¤äŊæããĻãã ããã"}, {"from": "gpt", "value": "1. ããĒããŽéŊå¸ã§ã¯ãã¨ããĢãŽãŧã¯ãŠãŽãããĢäžįĩĻãããĻããžããīŧ
2. äēēåˇĨįĨčŊã¨äēēéãŽå
ąåã¯ããŠãŽãããĢåŽįžããĻããžããīŧ
3. å°įå¤įåŊäŊã¨ãŽééã¯ããŠãŽãããĢ寞åŋãããŽã§ããããīŧ"}] |
|
ãŗãããĻã¤ãĢãšãĢéĸããããĨãŧãšč¨äēãæ¸ããĻãã ããã | äģæãéĻį¸åŽé¸ãããŽå ąåã§ã¯ãæ°åãŗãããĻã¤ãĢãšãŽææč
æ°ã3æĨéŖįļã§100äēēãä¸åãŖããã¨ãæãããĢãĒããžãããä¸æšã§ãįąŗåŊãŽã¯ãˇãŗããŗ大åĻãŽį įŠļããŧã ãįē襨ããææ°čĒŋæģã§ã¯ããããĢãŋæ Ēãã¨åŧã°ããæ°ããå¤į°į¨Žãä¸įåå°ã§åēããŖãĻãããã¨ãå¤æããžãããæĨæŦã§ãįĸēčĒãããčĸĢææč
ãããã¨ããæ
å ąãåēãĻããžããčĻåļãåžã
ãĢįˇŠåããĻããä¸ã§ãæĨãĒææįįēãåŋé
ããåŖ°ãä¸ããŖãĻããžããæŋåēã¯äģåžãäŋåĨåŽå
¨éĸãĢįįŽãã¤ã¤ãäēæĨåéãįĩæ¸æ´ģæ§åãĢåãįĩãã§ãããã¨ãéčĻã§ããã¨ããĻããžãã | 269 | [{"from": "human", "value": "ãŗãããĻã¤ãĢãšãĢéĸããããĨãŧãšč¨äēãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "äģæãéĻį¸åŽé¸ãããŽå ąåã§ã¯ãæ°åãŗãããĻã¤ãĢãšãŽææč
æ°ã3æĨéŖįļã§100äēēãä¸åãŖããã¨ãæãããĢãĒããžãããä¸æšã§ãįąŗåŊãŽã¯ãˇãŗããŗ大åĻãŽį įŠļããŧã ãįē襨ããææ°čĒŋæģã§ã¯ããããĢãŋæ Ēãã¨åŧã°ããæ°ããå¤į°į¨Žãä¸įåå°ã§åēããŖãĻãããã¨ãå¤æããžãããæĨæŦã§ãįĸēčĒãããčĸĢææč
ãããã¨ããæ
å ąãåēãĻããžããčĻåļãåžã
ãĢįˇŠåããĻããä¸ã§ãæĨãĒææįįēãåŋé
ããåŖ°ãä¸ããŖãĻããžããæŋåēã¯äģåžãäŋåĨåŽå
¨éĸãĢįįŽãã¤ã¤ãäēæĨåéãįĩæ¸æ´ģæ§åãĢåãįĩãã§ãããã¨ãéčĻã§ããã¨ããĻããžãã"}] |
|
æããį¸æãĢæ§ããã3čĄãŽããŠãŧããäŊæããĻãã ããã | åãŽįŦéĄã¯ã
į§ãŽåŋãį
§ããå
ã
æ°¸é ãĢåãæãã | 52 | [{"from": "human", "value": "æããį¸æãĢæ§ããã3čĄãŽããŠãŧããäŊæããĻãã ããã"}, {"from": "gpt", "value": "åãŽįŦéĄã¯ã
į§ãŽåŋãį
§ããå
ã
æ°¸é ãĢåãæãã"}] |
|
éŖæã財ããĢčĄãŖãĻãåŽļčˇ¯ãĢã¤ãéãŽããæåããĻãã ããã | å¤æŽããŽãšãŧããŧããã財ãįŠčĸãæąããĻåŽļčˇ¯ãĢã¤ããžããã
äģæĨãŽå¤éŖã¯ãæ°éŽŽãĒéäģãäŊŋãŖããæåˇģãå¯ŋå¸ãĢæąēåŽã§ãã
ãŦã¸ã§į˛žįŽãããã¨ãåˇčĩãąãŧãšãĢä¸Ļãã æ°éŽŽãĒéäģãįēããĻããã¨ããč
šãįŠēããĻããžããã
æŠãåŽļãĢ帰ãŖãĻãįžåŗããæåˇģãå¯ŋå¸ãäŊãããīŧ
ãããĒæ°æãĄã§ãčļŗåããčģŊããé§
ãĢåãããžããã | 178 | [{"from": "human", "value": "éŖæã財ããĢčĄãŖãĻãåŽļčˇ¯ãĢã¤ãéãŽããæåããĻãã ããã"}, {"from": "gpt", "value": "å¤æŽããŽãšãŧããŧããã財ãįŠčĸãæąããĻåŽļčˇ¯ãĢã¤ããžããã
äģæĨãŽå¤éŖã¯ãæ°éŽŽãĒéäģãäŊŋãŖããæåˇģãå¯ŋå¸ãĢæąēåŽã§ãã
ãŦã¸ã§į˛žįŽãããã¨ãåˇčĩãąãŧãšãĢä¸Ļãã æ°éŽŽãĒéäģãįēããĻããã¨ããč
šãįŠēããĻããžããã
æŠãåŽļãĢ帰ãŖãĻãįžåŗããæåˇģãå¯ŋå¸ãäŊãããīŧ
ãããĒæ°æãĄã§ãčļŗåããčģŊããé§
ãĢåãããžããã"}] |
|
įšåŽãŽææ
ã襨įžããæįĢ ãäŊæããĻãã ããã | åŊŧãŽįŗã¯ããžãã§æˇąãæĩˇãŽåēãŽãããĢãæ˛ããŋã¨įĩļæãĢæēãĄæēĸããĻããžããã
åŊŧãŽåŋã¯ãį ããããŦãŠãšãŽãããĢãįĄæ°ãŽį ´įãĢį ãæŖãŖãĻããžããã
åŊŧã¯ãããäŊãäŋĄãããã¨ãã§ãããå¸æãå¤ąãŖãĻããžããã
åŊŧãŽč¨čã¯ãåˇããéĸ¨ãåšãčããåŦãŽå¤ãŽãããĢãåˇãããįĄæ
ã§ããã | 155 | [{"from": "human", "value": "įšåŽãŽææ
ã襨įžããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "åŊŧãŽįŗã¯ããžãã§æˇąãæĩˇãŽåēãŽãããĢãæ˛ããŋã¨įĩļæãĢæēãĄæēĸããĻããžããã
åŊŧãŽåŋã¯ãį ããããŦãŠãšãŽãããĢãįĄæ°ãŽį ´įãĢį ãæŖãŖãĻããžããã
åŊŧã¯ãããäŊãäŋĄãããã¨ãã§ãããå¸æãå¤ąãŖãĻããžããã
åŊŧãŽč¨čã¯ãåˇããéĸ¨ãåšãčããåŦãŽå¤ãŽãããĢãåˇãããįĄæ
ã§ããã"}] |
|
čŗĒåã¨åįãŽįãäŧ芹ãæ¸ããĻãã ããã | ãæčŋãäŊãéĸįŊããã¨ã¯ããŖãīŧã
ãæ¨æĨãå
Ŧåã§įããéŗĨãčĻã¤ãããã īŧ įžŊæ šãŽč˛ãčšãŋããã ãŖãããã | 72 | [{"from": "human", "value": "čŗĒåã¨åįãŽįãäŧ芹ãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "ãæčŋãäŊãéĸįŊããã¨ã¯ããŖãīŧã
ãæ¨æĨãå
Ŧåã§įããéŗĨãčĻã¤ãããã īŧ įžŊæ šãŽč˛ãčšãŋããã ãŖãããã"}] |
|
ä¸ģæååæãĢããįšåž´éãŽæ¸å°ãPythonã§åŽčŖ
ããĻãã ãã | ```python
import pyfirmata
board = pyfirmata.Arduino('COM3')
it = pyfirmata.util.Iterator(board)
it.start()
arm = board.get_pin('d:10:s')
arm.write(90)
``` | 185 | [{"from": "human", "value": "ä¸ģæååæãĢããįšåž´éãŽæ¸å°ãPythonã§åŽčŖ
ããĻãã ãã"}, {"from": "gpt", "value": "```python
import pyfirmata
board = pyfirmata.Arduino('COM3')
it = pyfirmata.util.Iterator(board)
it.start()
arm = board.get_pin('d:10:s')
arm.write(90)
```"}] |
|
ãĻãŧãŠãŧæŗãäŊŋį¨ããĻæŽéįãĒ垎åæšį¨åŧãč§ŖãPythonãŽéĸæ°ãäŊæããĻãã ããã | ```python
def euler_method(f, y0, t0, t1, h):
y, t = y0, t0
while t <= t1:
y += h * f(t, y)
t += h
return y
``` | 180 | [{"from": "human", "value": "ãĻãŧãŠãŧæŗãäŊŋį¨ããĻæŽéįãĒ垎åæšį¨åŧãč§ŖãPythonãŽéĸæ°ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "```python
def euler_method(f, y0, t0, t1, h):
y, t = y0, t0
while t <= t1:
y += h * f(t, y)
t += h
return y
```"}] |
|
įĢããčĒåã ããŽæšæŗã§ãąãŧããįŧãįŠčĒãæ¸ããĻãã ããã | ãĸãĢã¯ãäēēéãŽãããĢæããĒããŽã§ããąãŧããįŧããã¨ãã§ããžããã
ããããåŊŧåĨŗã¯čĢĻããžããã§ããã
åŊŧåĨŗã¯ãčĒåãŽäŊãŽæ§ã
ãĒé¨åãå¨į¨ãĢäŊŋãããąãŧãäŊããĢææĻããžããã
éŧģã§ææãæˇˇããããããŖãŊã§åĩãå˛ãŖãããčļŗã§ãĒãŧããŗãæäŊãããã
åŊŧåĨŗã¯ãåĩæåˇĨå¤ĢãåãããįŦčĒãŽãąãŧãäŊãæšæŗãéįēããžããã
ãããĻãã¤ããĢãåŊŧåĨŗã¯ãčĒåã ããŽãĒãĒã¸ããĢãąãŧããįŧãä¸ããžããã
ããã¯ãčĻãįŽãåŗããäģãŽįĢãäŊãŖããã¨ãŽãĒãããĻããŧã¯ãĒãąãŧãã§ããã | 251 | [{"from": "human", "value": "įĢããčĒåã ããŽæšæŗã§ãąãŧããįŧãįŠčĒãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "ãĸãĢã¯ãäēēéãŽãããĢæããĒããŽã§ããąãŧããįŧããã¨ãã§ããžããã
ããããåŊŧåĨŗã¯čĢĻããžããã§ããã
åŊŧåĨŗã¯ãčĒåãŽäŊãŽæ§ã
ãĒé¨åãå¨į¨ãĢäŊŋãããąãŧãäŊããĢææĻããžããã
éŧģã§ææãæˇˇããããããŖãŊã§åĩãå˛ãŖãããčļŗã§ãĒãŧããŗãæäŊãããã
åŊŧåĨŗã¯ãåĩæåˇĨå¤ĢãåãããįŦčĒãŽãąãŧãäŊãæšæŗãéįēããžããã
ãããĻãã¤ããĢãåŊŧåĨŗã¯ãčĒåã ããŽãĒãĒã¸ããĢãąãŧããįŧãä¸ããžããã
ããã¯ãčĻãįŽãåŗããäģãŽįĢãäŊãŖããã¨ãŽãĒãããĻããŧã¯ãĒãąãŧãã§ããã"}] |
|
äēå¤åéĄãĢäŊŋį¨ããSupport Vector MachineãåŽčŖ
ããĻãã ããã | ```python
from sklearn import svm
X = [[0, 0], [1, 1]]
y = [0, 1]
clf = svm.SVC()
clf.fit(X, y)
``` | 140 | [{"from": "human", "value": "äēå¤åéĄãĢäŊŋį¨ããSupport Vector MachineãåŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
from sklearn import svm
X = [[0, 0], [1, 1]]
y = [0, 1]
clf = svm.SVC()
clf.fit(X, y)
```"}] |
|
Pythonã§Isolation Forest ãäŊŋį¨ãããšã¯ãĒãããåŽčŖ
ããĻãã ããã | ```python
from sklearn.ensemble import IsolationForest
X = [[0, 1], [0, -1], [-1, 0], [1, 0], [0, 0]]
clf = IsolationForest().fit(X)
``` | 180 | [{"from": "human", "value": "Pythonã§Isolation Forest ãäŊŋį¨ãããšã¯ãĒãããåŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
from sklearn.ensemble import IsolationForest
X = [[0, 1], [0, -1], [-1, 0], [1, 0], [0, 0]]
clf = IsolationForest().fit(X)
```"}] |
|
ä¸ãããããããšãå
ãŽãšããĢããšãäŋŽæŖãããããšãæ ĄæŖæŠčŊãPythonã§åŽčŖ
ããĻãã ããã | ```python
from textblob import TextBlob
incorrect_text = 'Ths is an incmplete sentece.'
blob = TextBlob(incorrect_text)
corrected_text = blob.correct()
print(f'Corrected Text: {corrected_text}')
``` | 244 | [{"from": "human", "value": "ä¸ãããããããšãå
ãŽãšããĢããšãäŋŽæŖãããããšãæ ĄæŖæŠčŊãPythonã§åŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
from textblob import TextBlob
incorrect_text = 'Ths is an incmplete sentece.'
blob = TextBlob(incorrect_text)
corrected_text = blob.correct()
print(f'Corrected Text: {corrected_text}')
```"}] |
|
åŊŧåĨŗã¯å¯ä¸čļŗãŽįļæ
ã§ããšããåããĻåžæããžããããĒãã§ããīŧ | ååãĒäŧæ¯ãã¨ããĻããĒãįļæ
ã§ããšããåãããã¨ã¯ãčēĢäŊãį˛åŧããĻãããããĢãéŠåãĒéä¸åãčããčŊåãįēæŽã§ããĒãå¯čŊæ§ãéĢããĒããžããããŽãããåŊŧåĨŗã¯ååãĒãããŠãŧããŗãšãįēæŽã§ããĒããŖããã¨ãĢåžæããĻããã¨čããããžãã | 143 | [{"from": "human", "value": "åŊŧåĨŗã¯å¯ä¸čļŗãŽįļæ
ã§ããšããåããĻåžæããžããããĒãã§ããīŧ"}, {"from": "gpt", "value": "ååãĒäŧæ¯ãã¨ããĻããĒãįļæ
ã§ããšããåãããã¨ã¯ãčēĢäŊãį˛åŧããĻãããããĢãéŠåãĒéä¸åãčããčŊåãįēæŽã§ããĒãå¯čŊæ§ãéĢããĒããžããããŽãããåŊŧåĨŗã¯ååãĒãããŠãŧããŗãšãįēæŽã§ããĒããŖããã¨ãĢåžæããĻããã¨čããããžãã"}] |
|
čĻĒåã§äŧ芹ããããˇã§ãŧããˇã§ãŧããŗãĄããŖãŽæåãŽ3čĄãäŊæããĻãã ããã | ããįļãããåãŽãå°éŖããä¸ãããã
ãããĄã ãåãĢã¯ãžã æŠãã大äēēãĢãĒãŖãããããããã
ãã§ãããįļããã¯ãã¤ããå°éŖãã貰ãŖãĻããããīŧã | 108 | [{"from": "human", "value": "čĻĒåã§äŧ芹ããããˇã§ãŧããˇã§ãŧããŗãĄããŖãŽæåãŽ3čĄãäŊæããĻãã ããã"}, {"from": "gpt", "value": "ããįļãããåãŽãå°éŖããä¸ãããã
ãããĄã ãåãĢã¯ãžã æŠãã大äēēãĢãĒãŖãããããããã
ãã§ãããįļããã¯ãã¤ããå°éŖãã貰ãŖãĻããããīŧã"}] |
|
ããĢãĻã§ãŧãŽäŧįĩąįãĒæįãã¯ãĄãŧã´ããŽãŦãˇãããææã¨æé ãčŠŗããč¨čŋ°ããĻæ¸ããĻãã ããã | ã¯ãĄãŧã´
ææ:
ãŠã č: 1kg
ããããã: 4å
ããŋãŧ: 大ãã2
åĄŠ: 大ãã2
ãŗãˇã§ãĻ: å°ãã1
æ°´: éŠé
äŊãæš:
1. ãŠã čã大ãããĢåããåĄŠãŗãˇã§ãĻã§ä¸åŗãã¤ããã
2. éãĢæ°´ã¨ãŠã čãå
ĨããåŧˇįĢã§į
Žčžŧãã
3. ãŠã čãæããããĒãŖãããįĢãåŧąããããããããå ããã
4. ããããããæããããĒãŖãããããŋãŧãå ããĻæˇˇããã
5. åĄŠãŗãˇã§ãĻã§åŗãčĒŋããå¨ãĢįãäģããã | 247 | [{"from": "human", "value": "ããĢãĻã§ãŧãŽäŧįĩąįãĒæįãã¯ãĄãŧã´ããŽãŦãˇãããææã¨æé ãčŠŗããč¨čŋ°ããĻæ¸ããĻãã ããã"}, {"from": "gpt", "value": "ã¯ãĄãŧã´
ææ:
ãŠã č: 1kg
ããããã: 4å
ããŋãŧ: 大ãã2
åĄŠ: 大ãã2
ãŗãˇã§ãĻ: å°ãã1
æ°´: éŠé
äŊãæš:
1. ãŠã čã大ãããĢåããåĄŠãŗãˇã§ãĻã§ä¸åŗãã¤ããã
2. éãĢæ°´ã¨ãŠã čãå
ĨããåŧˇįĢã§į
Žčžŧãã
3. ãŠã čãæããããĒãŖãããįĢãåŧąããããããããå ããã
4. ããããããæããããĒãŖãããããŋãŧãå ããĻæˇˇããã
5. åĄŠãŗãˇã§ãĻã§åŗãčĒŋããå¨ãĢįãäģããã"}] |
|
å¤ãŽæ¨æŧãæĨãŽä¸ã§éãļåäžããĄãŽæ§åãæããæįĢ ãäŊæããĻãã ããã | æ¨æŧãæĨããæ¨ã
ãŽéããéãæŗ¨ããå°éĸãĢįžããæ¨Ąæ§ãæããĻããžããã
åäžããĄã¯ãããŽæ¨æŧãæĨãŽä¸ã§ãæĨŊããããĢéãã§ããžããã
åŊŧãã¯ãæ¨ãŽæãĢãļãä¸ããŖãĻæēããããčããã§čĩ°ãåãŖãããčĢãčŋŊãããããããĻããžããã
åäžããĄãŽįŦãåŖ°ã¯ãæŖŽä¸ãĢéŋãæ¸Ąããå¤ãŽįŠãããĒéĸ¨æ¯ãåŊŠãŖãĻããžããã | 180 | [{"from": "human", "value": "å¤ãŽæ¨æŧãæĨãŽä¸ã§éãļåäžããĄãŽæ§åãæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "æ¨æŧãæĨããæ¨ã
ãŽéããéãæŗ¨ããå°éĸãĢįžããæ¨Ąæ§ãæããĻããžããã
åäžããĄã¯ãããŽæ¨æŧãæĨãŽä¸ã§ãæĨŊããããĢéãã§ããžããã
åŊŧãã¯ãæ¨ãŽæãĢãļãä¸ããŖãĻæēããããčããã§čĩ°ãåãŖãããčĢãčŋŊãããããããĻããžããã
åäžããĄãŽįŦãåŖ°ã¯ãæŖŽä¸ãĢéŋãæ¸Ąããå¤ãŽįŠãããĒéĸ¨æ¯ãåŊŠãŖãĻããžããã"}] |
|
2ã¤ãŽéģčˇãĢããã¯ãŧããŗãŽæŗåãčĒŦæããĻãã ããã | ã¯ãŧããŗãŽæŗåã¯ãäŊįŊŽãĢãã2ã¤ãŽééģčˇéãŽį¸äēäŊį¨ãč¨čŋ°ããããŽã§ããããŽæŗåãĢããã°ã2ã¤ãŽééģčˇéãŽį¸äēäŊį¨ã¯ã2ã¤ãŽįšééģčˇãįĩļ寞å¤ãããŗįŦĻåˇãŽå¤§ããã2įšéãŽčˇéĸãč¨ąåŽšæ§ãŽæ¯įãĢããŖãĻæąēãžããžãã | 128 | [{"from": "human", "value": "2ã¤ãŽéģčˇãĢããã¯ãŧããŗãŽæŗåãčĒŦæããĻãã ããã"}, {"from": "gpt", "value": "ã¯ãŧããŗãŽæŗåã¯ãäŊįŊŽãĢãã2ã¤ãŽééģčˇéãŽį¸äēäŊį¨ãč¨čŋ°ããããŽã§ããããŽæŗåãĢããã°ã2ã¤ãŽééģčˇéãŽį¸äēäŊį¨ã¯ã2ã¤ãŽįšééģčˇãįĩļ寞å¤ãããŗįŦĻåˇãŽå¤§ããã2įšéãŽčˇéĸãč¨ąåŽšæ§ãŽæ¯įãĢããŖãĻæąēãžããžãã"}] |
|
ãĻãŧãļãŧãå¤ĒéŊįŗģã襨ããšããŧãŦãŗãčããĻãģããã¨č¨ããžããããĻãŧãļãŧãŽãããĢãå¤ĒéŊįŗģã襨ããšããŧãŦãŗã3ã¤äŊæããĻãã ããã | 1. å¤ĒéŊįŗģīŧ
åŽåŽãŽįĨį§ã
åãåž
ãŖãĻããã
2. å¤ĒéŊįŗģīŧ
å¤ĸã¨åéēãŽ
įĄéãŽåēããã
3. å¤ĒéŊįŗģīŧ
į§ããĄãŽåŽļã
æĒæĨã¸ãŽå¸æã | 130 | [{"from": "human", "value": "ãĻãŧãļãŧãå¤ĒéŊįŗģã襨ããšããŧãŦãŗãčããĻãģããã¨č¨ããžããããĻãŧãļãŧãŽãããĢãå¤ĒéŊįŗģã襨ããšããŧãŦãŗã3ã¤äŊæããĻãã ããã"}, {"from": "gpt", "value": "1. å¤ĒéŊįŗģīŧ
åŽåŽãŽįĨį§ã
åãåž
ãŖãĻããã
2. å¤ĒéŊįŗģīŧ
å¤ĸã¨åéēãŽ
įĄéãŽåēããã
3. å¤ĒéŊįŗģīŧ
į§ããĄãŽåŽļã
æĒæĨã¸ãŽå¸æã"}] |
|
įĢãå°ãŖãĻããå ´éĸãæããįįˇ¨å°čĒŦãŽæåãŽ5čĄãäŊæããĻãã ããã | ãããŗã¯ããã¤ãéããŽæãčŋããžããã
éŊå
ãåˇŽãčžŧãįĒéã§ãæ¯ãĨããããããĒãããäģæĨãŽåéēãå¤ĸčĻãĻããžããã
ããããäģæĨã¯äŊããéããžããã
ãã¤ãéãéããããã¯ããŽé¨åąãŽããĸãããģããŽå°ãã ãéãžãŖãĻãããŽã§ãã
ãããŗã¯ãããĸãŽééããéĄãčĻãããé¨åąãŽä¸ãčĻæ¸Ąããžããã | 175 | [{"from": "human", "value": "įĢãå°ãŖãĻããå ´éĸãæããįįˇ¨å°čĒŦãŽæåãŽ5čĄãäŊæããĻãã ããã"}, {"from": "gpt", "value": "ãããŗã¯ããã¤ãéããŽæãčŋããžããã
éŊå
ãåˇŽãčžŧãįĒéã§ãæ¯ãĨããããããĒãããäģæĨãŽåéēãå¤ĸčĻãĻããžããã
ããããäģæĨã¯äŊããéããžããã
ãã¤ãéãéããããã¯ããŽé¨åąãŽããĸãããģããŽå°ãã ãéãžãŖãĻãããŽã§ãã
ãããŗã¯ãããĸãŽééããéĄãčĻãããé¨åąãŽä¸ãčĻæ¸Ąããžããã"}] |
|
æ˛į¸ã§éĒãéãŖãĻãããã¨ãĢå¤ããŽäēēãéŠããĻããžãããĒãã§ããīŧ | æ˛į¸ã¯æããéĒãéããã¨ã¯ãģã¨ããŠãĒãããã§ãã | 55 | [{"from": "human", "value": "æ˛į¸ã§éĒãéãŖãĻãããã¨ãĢå¤ããŽäēēãéŠããĻããžãããĒãã§ããīŧ"}, {"from": "gpt", "value": "æ˛į¸ã¯æããéĒãéããã¨ã¯ãģã¨ããŠãĒãããã§ãã"}] |
|
ããĄãŗãŋã¸ãŧä¸įãĢããããįåŊãæ¯ããéčĻãĒčˇæĨãčããããŽčˇæĨãŽčŠŗį´°ãč¨čŋ°ããĻãã ããã | įåŊãæ¯ããéčĻãĒčˇæĨãŽä¸ã¤ãĢããæãŽčĒãé¨ãããããžãã
æãŽčĒãé¨ã¯ã夊äŊãŽåããčĻŗå¯ããããŽåãããæĒæĨãäēč¨ããčŊåãæãŖãĻããžãã
åŊŧãã¯ãį厤ã貴æãĢäģããéčĻãĒæąēæãä¸ãéãĢåŠč¨ãä¸ããĻããžãã
ãžããæãŽčĒãé¨ã¯ãäēēã
ãŽæŠãŋãčããæãŽč¨čã§įããä¸ããå¸æãä¸ããåŊšå˛ãæ
ãŖãĻããžãã
åŊŧããŽäēč¨ã¯ãæãĢã¯įåŊãåąæŠããæããæãĢã¯æ°ããĒįēåąãäŋãåã¨ãĒããžãã
æãŽčĒãé¨ã¯ãįåŊãŽéåŊãæĄãéčĻãĒåå¨ã¨ããĻãäēēã
ããå°æŦãããĻããžãã | 273 | [{"from": "human", "value": "ããĄãŗãŋã¸ãŧä¸įãĢããããįåŊãæ¯ããéčĻãĒčˇæĨãčããããŽčˇæĨãŽčŠŗį´°ãč¨čŋ°ããĻãã ããã"}, {"from": "gpt", "value": "įåŊãæ¯ããéčĻãĒčˇæĨãŽä¸ã¤ãĢããæãŽčĒãé¨ãããããžãã
æãŽčĒãé¨ã¯ã夊äŊãŽåããčĻŗå¯ããããŽåãããæĒæĨãäēč¨ããčŊåãæãŖãĻããžãã
åŊŧãã¯ãį厤ã貴æãĢäģããéčĻãĒæąēæãä¸ãéãĢåŠč¨ãä¸ããĻããžãã
ãžããæãŽčĒãé¨ã¯ãäēēã
ãŽæŠãŋãčããæãŽč¨čã§įããä¸ããå¸æãä¸ããåŊšå˛ãæ
ãŖãĻããžãã
åŊŧããŽäēč¨ã¯ãæãĢã¯įåŊãåąæŠããæããæãĢã¯æ°ããĒįēåąãäŋãåã¨ãĒããžãã
æãŽčĒãé¨ã¯ãįåŊãŽéåŊãæĄãéčĻãĒåå¨ã¨ããĻãäēēã
ããå°æŦãããĻããžãã"}] |
|
ããŧãŗãŽæšåãäēæ¸ŦããæąēåŽæ¨åéĄå¨ãåŽčŖ
ããĻãã ããã
ä¸ããããããŧãŋãģãããäŊŋį¨ããĻãããŧãŗãŽæšåãäēæ¸ŦããæąēåŽæ¨åéĄå¨ãåŽčŖ
ããĻãã ãããããŧãŋãģãããĢã¯ã'Age'ã'EstimatedSalary'ã'LoanAmount'ã¨ãããĢãŠã ãåĢãžããĻããžãããŋãŧã˛ãããĢãŠã ã¯'Loan\_Status'ã§ãã | ```python
from sklearn.tree import DecisionTreeClassifier
X = [[0, 0], [1, 1]]
y = [0, 1]
clf = DecisionTreeClassifier()
clf = clf.fit(X, y)
``` | 302 | [{"from": "human", "value": "ããŧãŗãŽæšåãäēæ¸ŦããæąēåŽæ¨åéĄå¨ãåŽčŖ
ããĻãã ããã
ä¸ããããããŧãŋãģãããäŊŋį¨ããĻãããŧãŗãŽæšåãäēæ¸ŦããæąēåŽæ¨åéĄå¨ãåŽčŖ
ããĻãã ãããããŧãŋãģãããĢã¯ã'Age'ã'EstimatedSalary'ã'LoanAmount'ã¨ãããĢãŠã ãåĢãžããĻããžãããŋãŧã˛ãããĢãŠã ã¯'Loan\_Status'ã§ãã"}, {"from": "gpt", "value": "```python
from sklearn.tree import DecisionTreeClassifier
X = [[0, 0], [1, 1]]
y = [0, 1]
clf = DecisionTreeClassifier()
clf = clf.fit(X, y)
```"}] |
|
ããããã嚸įĻãæããããæšæŗãĢã¤ããĻãå
ˇäŊįãĒãĸã¤ããĸãč¨čŋ°ããĻãã ããã | ããããã嚸įĻãæããããæšæŗãŽä¸ã¤ã¨ããĻãįŽįæčãä¸ãããã¨ãčããããžãã
ãããããĢãčĒåčĒčēĢãŽįŽæ¨ãéæãããããŽčĒ˛éĄãä¸ããããŽéæãéããĻåãŗãæēčļŗæãåžããããããĢããžãã
äžãã°ããããããĢãæ¤įŠãŽä¸čŠąããį°åĸæ¸
æãĒãŠãŽåŊšå˛ãä¸ããããŽåŊšå˛ãæãããã¨ã§ãéææã¨åš¸įĻæãåžããããããĢããžãã | 194 | [{"from": "human", "value": "ããããã嚸įĻãæããããæšæŗãĢã¤ããĻãå
ˇäŊįãĒãĸã¤ããĸãč¨čŋ°ããĻãã ããã"}, {"from": "gpt", "value": "ããããã嚸įĻãæããããæšæŗãŽä¸ã¤ã¨ããĻãįŽįæčãä¸ãããã¨ãčããããžãã
ãããããĢãčĒåčĒčēĢãŽįŽæ¨ãéæãããããŽčĒ˛éĄãä¸ããããŽéæãéããĻåãŗãæēčļŗæãåžããããããĢããžãã
äžãã°ããããããĢãæ¤įŠãŽä¸čŠąããį°åĸæ¸
æãĒãŠãŽåŊšå˛ãä¸ããããŽåŊšå˛ãæãããã¨ã§ãéææã¨åš¸įĻæãåžããããããĢããžãã"}] |
|
æ
čĄå
ã§ä¸æ¸ŦãŽäēæ
ãčĩˇããĻåäēēéã¨åĨããĻããžãŖãä¸ģäēēå
ŦããããŠãįããå°ããĒæã§æ°ããĒåēäŧããããĻããéˇįˇ¨å°čĒŦãæ¸ããĻãã ããã | ãã¯ã¤ãĢčĄããããĢéŖčĄæŠãĢäšãŖããĢãąãĢããĄã¯ãæĨãĒæēãã§įŽãŽåãįãŖæãĢãĒãŖããįŽčĻããã¨æĩčžēã§ä¸äēēãĢãĒãŖãĻããããæģãã§ããžãŖããŽããã¨æãŖãĻããã¨ãé ããĢäēēåŊąãčĻãããčŋŊããããĻããã¨ããããĢã¯å°ããĒæãããŖãã | 172 | [{"from": "human", "value": "æ
čĄå
ã§ä¸æ¸ŦãŽäēæ
ãčĩˇããĻåäēēéã¨åĨããĻããžãŖãä¸ģäēēå
ŦããããŠãįããå°ããĒæã§æ°ããĒåēäŧããããĻããéˇįˇ¨å°čĒŦãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "ãã¯ã¤ãĢčĄããããĢéŖčĄæŠãĢäšãŖããĢãąãĢããĄã¯ãæĨãĒæēãã§įŽãŽåãįãŖæãĢãĒãŖããįŽčĻããã¨æĩčžēã§ä¸äēēãĢãĒãŖãĻããããæģãã§ããžãŖããŽããã¨æãŖãĻããã¨ãé ããĢäēēåŊąãčĻãããčŋŊããããĻããã¨ããããĢã¯å°ããĒæãããŖãã"}] |
|
åŊŧã¯ãäģæĨã¯æĩˇã¸ãĩã¤ã¯ãĒãŗã°ãĢčĄããã¨č¨ãŖãĻãéįã°ããŧãã¨ããããæãŖãĻåēãããžãããäŊããããããŽã§ããããīŧ | æĩčžēã§čĒčģĸčģãĢäšããã¨ã¯ã§ããžããããæĩˇãžã§ãĩã¤ã¯ãĒãŗã°ãããã¨ããæåŗã§ããã°ããããã¯ãããžãããããããéįãããããã§ããã°æĩˇã¸čĄããã¨ã¯ãããããå
Ŧåãéįå ´ã¸åãããŽãåĻĨåŊã§ããã¨čããããžããããŖãĻåŊŧãŽįēč¨ã¯ããããã¨č¨ããžãã | 178 | [{"from": "human", "value": "åŊŧã¯ãäģæĨã¯æĩˇã¸ãĩã¤ã¯ãĒãŗã°ãĢčĄããã¨č¨ãŖãĻãéįã°ããŧãã¨ããããæãŖãĻåēãããžãããäŊããããããŽã§ããããīŧ"}, {"from": "gpt", "value": "æĩčžēã§čĒčģĸčģãĢäšããã¨ã¯ã§ããžããããæĩˇãžã§ãĩã¤ã¯ãĒãŗã°ãããã¨ããæåŗã§ããã°ããããã¯ãããžãããããããéįãããããã§ããã°æĩˇã¸čĄããã¨ã¯ãããããå
Ŧåãéįå ´ã¸åãããŽãåĻĨåŊã§ããã¨čããããžããããŖãĻåŊŧãŽįēč¨ã¯ããããã¨č¨ããžãã"}] |
|
åŊŧã¯14æãĢå¯ãĻã 21æé ãĢčĩˇããįæ´ģãããĻããžãããĒãã ã¨čããããžããīŧ | åŊŧã¯å¤å¤ãŽäģäēãããĻããã¨čããããžããå¤ãĢåããããå¤ãĢčĩˇããĻãäģäēãįĩããæŧé ããįĄį ãã¨ãŖãĻããå¯čŊæ§ããããžãã | 99 | [{"from": "human", "value": "åŊŧã¯14æãĢå¯ãĻã 21æé ãĢčĩˇããįæ´ģãããĻããžãããĒãã ã¨čããããžããīŧ"}, {"from": "gpt", "value": "åŊŧã¯å¤å¤ãŽäģäēãããĻããã¨čããããžããå¤ãĢåããããå¤ãĢčĩˇããĻãäģäēãįĩããæŧé ããįĄį ãã¨ãŖãĻããå¯čŊæ§ããããžãã"}] |
|
ãšããããŗã°ãĸãŧãŋãŧãŽäģįĩãŋã¨įšåž´ãčĒŦæããĻãã ããã | ãšããããŗã°ãĸãŧãŋãŧã¯éģæ°ãäģããč§åēĻãŽåļåžĄãå¯čŊãĢããæŠæ§ãŽä¸ã¤ã§ãã ãšããããŗã°ãĸãŧãŋãŧã¯ãã ä¸ã¤ãŽãšããããã¨ãĢåčģĸãããããĒéåēĻã¨æšåãåļåžĄãããã¨ãã§ããæŠčŊããããį°ĄåãĢåãå¤ãããåčģĸæšåãéããžãĢã§ãããããæŖįĸēæ§ãæąããããå°åã§äŊŋį¨ãããĻããžããããŽäģãŽįšåž´ã¨ããĻãéģæēãéŽæãããĻãããšããããŗã°ãĸãŧãŋãŧã¯æŖįĸēãĒč§åēĻã§åæĸããžãã | 204 | [{"from": "human", "value": "ãšããããŗã°ãĸãŧãŋãŧãŽäģįĩãŋã¨įšåž´ãčĒŦæããĻãã ããã"}, {"from": "gpt", "value": "ãšããããŗã°ãĸãŧãŋãŧã¯éģæ°ãäģããč§åēĻãŽåļåžĄãå¯čŊãĢããæŠæ§ãŽä¸ã¤ã§ãã ãšããããŗã°ãĸãŧãŋãŧã¯ãã ä¸ã¤ãŽãšããããã¨ãĢåčģĸãããããĒéåēĻã¨æšåãåļåžĄãããã¨ãã§ããæŠčŊããããį°ĄåãĢåãå¤ãããåčģĸæšåãéããžãĢã§ãããããæŖįĸēæ§ãæąããããå°åã§äŊŋį¨ãããĻããžããããŽäģãŽįšåž´ã¨ããĻãéģæēãéŽæãããĻãããšããããŗã°ãĸãŧãŋãŧã¯æŖįĸēãĒč§åēĻã§åæĸããžãã"}] |
|
渊æŗãĢã¤ããåŋå°ããã襨įžãããįã芊ãäŊæããĻãã ããã | 暯ãĢå
ãžã
åŋãč§Ŗãæžããã
čŗįĻãŽã˛ã¨ã¨ã | 51 | [{"from": "human", "value": "渊æŗãĢã¤ããåŋå°ããã襨įžãããįã芊ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "暯ãĢå
ãžã
åŋãč§Ŗãæžããã
čŗįĻãŽã˛ã¨ã¨ã"}] |
|
ã´ãĒãŠãĢããļã貊åŖ˛ããããĻããŧã¯ãĒãã¸ããšããŠãŗãįĢãĻãĻãã ããã | ã´ãĒãŠãŽåĨŊãŋãĢåãããããããéĸ¨åŗãŽããļãéįēããã´ãĒãŠãįæ¯ããåįŠåãäŋčˇåēãĢ貊åŖ˛ãããã¸ããšããŠãŗã§ãã
ããããŽįãŋã¨ãããļãŽåĄŠåŗãįĩļåĻãĒããŠãŗãšãįãŋåēããã´ãĒãŠããĄãŽéŖæŦ˛ãããããžãã
ãããĢãã´ãĒãŠãŽåĨåēˇãčæ
Žããæ é¤äžĄãŽéĢãéŖæãåŗé¸ããĻäŊŋį¨ããžãã
ã´ãĒãŠãŽåĨåēˇã¨ãäēēã
ãŽéĸåŋãåæãĢæēããããã¸ããšã¨ããĻãæŗ¨įŽãéããã§ãããã | 207 | [{"from": "human", "value": "ã´ãĒãŠãĢããļã貊åŖ˛ããããĻããŧã¯ãĒãã¸ããšããŠãŗãįĢãĻãĻãã ããã"}, {"from": "gpt", "value": "ã´ãĒãŠãŽåĨŊãŋãĢåãããããããéĸ¨åŗãŽããļãéįēããã´ãĒãŠãįæ¯ããåįŠåãäŋčˇåēãĢ貊åŖ˛ãããã¸ããšããŠãŗã§ãã
ããããŽįãŋã¨ãããļãŽåĄŠåŗãįĩļåĻãĒããŠãŗãšãįãŋåēããã´ãĒãŠããĄãŽéŖæŦ˛ãããããžãã
ãããĢãã´ãĒãŠãŽåĨåēˇãčæ
Žããæ é¤äžĄãŽéĢãéŖæãåŗé¸ããĻäŊŋį¨ããžãã
ã´ãĒãŠãŽåĨåēˇã¨ãäēēã
ãŽéĸåŋãåæãĢæēããããã¸ããšã¨ããĻãæŗ¨įŽãéããã§ãããã"}] |
|
ä¸åšãŽįĢãä¸ģäēēå
ŦãĢãããįšåž´įãĒäēēįŠåãæãæįĢ ãäŊæããĻãã ããã | åŊŧåĨŗã¯ããžãã§å¤įŠēãĢčŧãæãŽãããĒįžãããæã¤įĨį§įãĒįĢã§ããã
æŧéģãŽæ¯ä¸Ļãŋã¯ãå
æ˛ĸããããč§Ļãã¨éŠããģãŠæģããã§ããã
åŊŧåĨŗãŽįŽã¯ãã¨ãĄãŠãĢãã°ãĒãŧãŗãĢčŧããéãįŠãčĻã¤ããčĻįˇã¯ãį˛įŠãįãããŗãŋãŧãŽããã§ããã
åŊŧåĨŗã¯ãčĒįąåĨæžã§ãčĒåãŽåĨŊããĒãããĢčĄåããããžããĢįĢããŽããŽã¨ããŖãåå¨ã§ããã
ããããæãĢã¯ãäēēéãŽãããĒåĒãããåæãæãããã襨æ
ãčĻãããã¨ããããžããã
åŊŧåĨŗã¯ãå¤įŦãæããčĒåãŽä¸įã大åãĢãããå¤éĢãŽįĢã§ããã | 259 | [{"from": "human", "value": "ä¸åšãŽįĢãä¸ģäēēå
ŦãĢãããįšåž´įãĒäēēįŠåãæãæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "åŊŧåĨŗã¯ããžãã§å¤įŠēãĢčŧãæãŽãããĒįžãããæã¤įĨį§įãĒįĢã§ããã
æŧéģãŽæ¯ä¸Ļãŋã¯ãå
æ˛ĸããããč§Ļãã¨éŠããģãŠæģããã§ããã
åŊŧåĨŗãŽįŽã¯ãã¨ãĄãŠãĢãã°ãĒãŧãŗãĢčŧããéãįŠãčĻã¤ããčĻįˇã¯ãį˛įŠãįãããŗãŋãŧãŽããã§ããã
åŊŧåĨŗã¯ãčĒįąåĨæžã§ãčĒåãŽåĨŊããĒãããĢčĄåããããžããĢįĢããŽããŽã¨ããŖãåå¨ã§ããã
ããããæãĢã¯ãäēēéãŽãããĒåĒãããåæãæãããã襨æ
ãčĻãããã¨ããããžããã
åŊŧåĨŗã¯ãå¤įŦãæããčĒåãŽä¸įã大åãĢãããå¤éĢãŽįĢã§ããã"}] |
|
ä¸æåŧåãŽåįãčĒŦæããĻãã ããã | ä¸æåŧåã¨ã¯ã夊äŊãįŠäŊååŖĢãŽåŧåãæåŗããčˇéĸãčŋãĨããģãŠããŽåŧåã¯åĸ大ããžããããŽä¸æåŧåã¯ãįŠäŊãŽčŗĒéãããããŽéãŽčˇéĸãĢæ¯äžããåŧˇããæãĄãžãããĸã¤ãļãã¯ãģããĨãŧããŗãæåãĢããŽæŗåãčĒŦæããžãããä¸æåŧåãŽæŗåã¯ãF = G*īŧm1*m2īŧ/r^2 ã§ãFã¯ä¸æåŧåãGã¯ä¸æåŽæ°ãm1ãģm2ã¯įŠäŊãŽéããrã¯2ã¤ãŽįŠäŊãŽéãŽčˇéĸã襨ããĻããžãã | 195 | [{"from": "human", "value": "ä¸æåŧåãŽåįãčĒŦæããĻãã ããã"}, {"from": "gpt", "value": "ä¸æåŧåã¨ã¯ã夊äŊãįŠäŊååŖĢãŽåŧåãæåŗããčˇéĸãčŋãĨããģãŠããŽåŧåã¯åĸ大ããžããããŽä¸æåŧåã¯ãįŠäŊãŽčŗĒéãããããŽéãŽčˇéĸãĢæ¯äžããåŧˇããæãĄãžãããĸã¤ãļãã¯ãģããĨãŧããŗãæåãĢããŽæŗåãčĒŦæããžãããä¸æåŧåãŽæŗåã¯ãF = G*īŧm1*m2īŧ/r^2 ã§ãFã¯ä¸æåŧåãGã¯ä¸æåŽæ°ãm1ãģm2ã¯įŠäŊãŽéããrã¯2ã¤ãŽįŠäŊãŽéãŽčˇéĸã襨ããĻããžãã"}] |
|
įŠēã¨čĒįļãŽįžãããĢã¤ããĻčŠŗį´°ãĢč¨čŋ°ãã芊ãäŊæããĻãã ããã | įŠēã¯ãæˇąãéč˛ã§ãįŊãé˛ãããŖããã¨æĩããĻãããžãã
æãĢã¯ãå¤įŧããĢæãžããįãããããĒčĩ¤č˛ããĒãŦãŗã¸č˛ãĢčŧãã
ãžããå¤ãĢã¯ãįĄæ°ãŽæãį
ãããæãéããĢčĻåŽãŖãĻããžãã
įŠēã¯ãéŗĨããĄãŽæĨŊåã§ãããéĸ¨ãĢäšãŖãĻãé˛ãčĒįąãĢåŊĸãå¤ããĻãããžãã
é¨é˛ãããŖãĻããã¨ãįåŊãč˛ãæĩãŋãŽé¨ãéãæŗ¨ããžãã
įŠēã¯ãčĒįļãŽä¸é¨ã§ãããčĒįļã¨čĒŋåããäēããĢåŊąéŋãä¸ãåãŖãĻããžãã
įŠēãčĻä¸ããã¨ãį§ããĄã¯ãčĒįļãŽåŖŽå¤§ãã¨įžãããĢåŋãåĨĒããã
čĒåããĄãŽåå¨ãŽå°ãããæããã¨åæãĢã
įåŊãŽįĨį§ã¨åŽåŽãŽåē大ããĢæããéĻŗãããã¨ãã§ããžãã | 295 | [{"from": "human", "value": "įŠēã¨čĒįļãŽįžãããĢã¤ããĻčŠŗį´°ãĢč¨čŋ°ãã芊ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "įŠēã¯ãæˇąãéč˛ã§ãįŊãé˛ãããŖããã¨æĩããĻãããžãã
æãĢã¯ãå¤įŧããĢæãžããįãããããĒčĩ¤č˛ããĒãŦãŗã¸č˛ãĢčŧãã
ãžããå¤ãĢã¯ãįĄæ°ãŽæãį
ãããæãéããĢčĻåŽãŖãĻããžãã
įŠēã¯ãéŗĨããĄãŽæĨŊåã§ãããéĸ¨ãĢäšãŖãĻãé˛ãčĒįąãĢåŊĸãå¤ããĻãããžãã
é¨é˛ãããŖãĻããã¨ãįåŊãč˛ãæĩãŋãŽé¨ãéãæŗ¨ããžãã
įŠēã¯ãčĒįļãŽä¸é¨ã§ãããčĒįļã¨čĒŋåããäēããĢåŊąéŋãä¸ãåãŖãĻããžãã
įŠēãčĻä¸ããã¨ãį§ããĄã¯ãčĒįļãŽåŖŽå¤§ãã¨įžãããĢåŋãåĨĒããã
čĒåããĄãŽåå¨ãŽå°ãããæããã¨åæãĢã
įåŊãŽįĨį§ã¨åŽåŽãŽåē大ããĢæããéĻŗãããã¨ãã§ããžãã"}] |
|
į§ãŽåŖį¯ãããŧããĢãã芊ãäŊæããĻãã ããã | į§ãŽæĨã¯éŖįļčŊã¨ã
å¤æŽãæã¯
čč˛ãĢæãžã
æ¨ã
ã¯čĩ¤ãéģč˛ãĢ
įžããč˛ãĨã
éĸ¨ã¯åˇãããĒã
čŊãĄčãčã
éå¯ãŽä¸įã¸
åŋã¯įŠãããĢ
į§ãŽæˇąãžããæãã | 99 | [{"from": "human", "value": "į§ãŽåŖį¯ãããŧããĢãã芊ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "į§ãŽæĨã¯éŖįļčŊã¨ã
å¤æŽãæã¯
čč˛ãĢæãžã
æ¨ã
ã¯čĩ¤ãéģč˛ãĢ
įžããč˛ãĨã
éĸ¨ã¯åˇãããĒã
čŊãĄčãčã
éå¯ãŽä¸įã¸
åŋã¯įŠãããĢ
į§ãŽæˇąãžããæãã"}] |
|
æ芹ãčĒŦæããæįĢ ãäŊæããĻãã ããã | æ芹ã¯ãéŗåŖ°č¨čĒãäģŖãããĢį¨ããčĻčĻč¨čĒã§ãã
æãéĄãäŊãŽåããäŊŋãŖãĻãč¨čãæĻåŋĩã襨įžããžãã
æ芹ã¯åŊãå°åãĢããŖãĻį°ãĒããžãã
æ芹ãäŊŋããã¨ã§ãč´čĻéåŽŗč
ååŖĢããžãã¯č´čĻéåŽŗč
ã¨åĨ常č
éã§ããŗããĨããąãŧãˇã§ãŗãã¨ããã¨ãã§ããžãã | 139 | [{"from": "human", "value": "æ芹ãčĒŦæããæįĢ ãäŊæããĻãã ããã"}, {"from": "gpt", "value": "æ芹ã¯ãéŗåŖ°č¨čĒãäģŖãããĢį¨ããčĻčĻč¨čĒã§ãã
æãéĄãäŊãŽåããäŊŋãŖãĻãč¨čãæĻåŋĩã襨įžããžãã
æ芹ã¯åŊãå°åãĢããŖãĻį°ãĒããžãã
æ芹ãäŊŋããã¨ã§ãč´čĻéåŽŗč
ååŖĢããžãã¯č´čĻéåŽŗč
ã¨åĨ常č
éã§ããŗããĨããąãŧãˇã§ãŗãã¨ããã¨ãã§ããžãã"}] |
|
äēēæ°ãŽããįžäģŖãŽææãĢäŧŧããããĒé°å˛æ°ãæã¤äŋŗåĨãäŊæããĻãã ããã | å¤įŠēãĢéŋã
æåŖ°ã¯æãŽãããĢ
åŋãæēããļã | 55 | [{"from": "human", "value": "äēēæ°ãŽããįžäģŖãŽææãĢäŧŧããããĒé°å˛æ°ãæã¤äŋŗåĨãäŊæããĻãã ããã"}, {"from": "gpt", "value": "å¤įŠēãĢéŋã
æåŖ°ã¯æãŽãããĢ
åŋãæēããļã"}] |
|
ä¸ģäēēå
Ŧãå°éãĢįĩļäŊįĩļåŊããĻããæãæãč´ãããĻããã¨ããåąéããå§ãžãįįˇ¨å°čĒŦãæ¸ããĻãã ããã | įĒįļãŽå°éã§åŽļã¯å¤§ããæēããĻãããæåéãåŽļãį ´åŖããããŽãæããĻãããã˛ã¨ãžãé é¨ãåŽããĒãã¨ã¨æãæēãŽä¸ãĢé ããĻå°éãæĸãžããžã§åž
ãŖãĻãããããããå°éãæĸãžãã¨ããĩããĢįžããæåŖ°ãčãããĻããã | 148 | [{"from": "human", "value": "ä¸ģäēēå
Ŧãå°éãĢįĩļäŊįĩļåŊããĻããæãæãč´ãããĻããã¨ããåąéããå§ãžãįįˇ¨å°čĒŦãæ¸ããĻãã ããã"}, {"from": "gpt", "value": "įĒįļãŽå°éã§åŽļã¯å¤§ããæēããĻãããæåéãåŽļãį ´åŖããããŽãæããĻãããã˛ã¨ãžãé é¨ãåŽããĒãã¨ã¨æãæēãŽä¸ãĢé ããĻå°éãæĸãžããžã§åž
ãŖãĻãããããããå°éãæĸãžãã¨ããĩããĢįžããæåŖ°ãčãããĻããã"}] |
|
åéĄį¨ãŽk-æčŋåãĸãĢã´ãĒãēã ãPythonã§åŽčŖ
ããĻãã ãã | ```python
import gym
env = gym.make('FrozenLake-v0')
state = env.reset()
for _ in range(1000):
action = env.action_space.sample()
state, reward, done, info = env.step(action)
if done:
break
``` | 244 | [{"from": "human", "value": "åéĄį¨ãŽk-æčŋåãĸãĢã´ãĒãēã ãPythonã§åŽčŖ
ããĻãã ãã"}, {"from": "gpt", "value": "```python
import gym
env = gym.make('FrozenLake-v0')
state = env.reset()
for _ in range(1000):
action = env.action_space.sample()
state, reward, done, info = env.step(action)
if done:
break
```"}] |
|
åéã¨ãŽč¨ãäēããč§ŖæąēãããããĢãå
ˇäŊįãĒčĄåã¨č§Ŗæąēįãč¨čŋ°ããĻãã ããã | åéã¨ãŽč¨ãäēããč§ŖæąēãããããĢããžãã¯čŊãĄįããĻããäēããŽæ°æãĄãįč§Ŗãããã¨åĒãã芹ãåããŽå ´ãč¨ããžãããã
芹ãåãã§ã¯ãį¸æãŽæčĻãĢčŗãåžããčĒåãŽæ°æãĄãæŖį´ãĢäŧãããäēããŽįĢå ´ãįč§Ŗãããã¨ãéčĻã§ãã
ãããĻãå
ąéãŽįŽæ¨ãčĻã¤ããč§Ŗæąēįãä¸įˇãĢæĸããžãããã
ããã芹ãåãã ãã§ã¯č§Ŗæąēã§ããĒãå ´åã¯ãäŋĄé ŧã§ããįŦŦä¸č
ãĢį¸čĢãããã¨ãæåšã§ãã | 217 | [{"from": "human", "value": "åéã¨ãŽč¨ãäēããč§ŖæąēãããããĢãå
ˇäŊįãĒčĄåã¨č§Ŗæąēįãč¨čŋ°ããĻãã ããã"}, {"from": "gpt", "value": "åéã¨ãŽč¨ãäēããč§ŖæąēãããããĢããžãã¯čŊãĄįããĻããäēããŽæ°æãĄãįč§Ŗãããã¨åĒãã芹ãåããŽå ´ãč¨ããžãããã
芹ãåãã§ã¯ãį¸æãŽæčĻãĢčŗãåžããčĒåãŽæ°æãĄãæŖį´ãĢäŧãããäēããŽįĢå ´ãįč§Ŗãããã¨ãéčĻã§ãã
ãããĻãå
ąéãŽįŽæ¨ãčĻã¤ããč§Ŗæąēįãä¸įˇãĢæĸããžãããã
ããã芹ãåãã ãã§ã¯č§Ŗæąēã§ããĒãå ´åã¯ãäŋĄé ŧã§ããįŦŦä¸č
ãĢį¸čĢãããã¨ãæåšã§ãã"}] |
|
Pythonã§åéĄį¨ãŽk-æčŋåãĸãĢã´ãĒãēã ãåŽčŖ
ããĻãã ãã | ```python
from sklearn.neighbors import KNeighborsClassifier
X = [[0], [1], [2], [3]]
y = [0, 0, 1, 1]
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(X, y)
``` | 197 | [{"from": "human", "value": "Pythonã§åéĄį¨ãŽk-æčŋåãĸãĢã´ãĒãēã ãåŽčŖ
ããĻãã ãã"}, {"from": "gpt", "value": "```python
from sklearn.neighbors import KNeighborsClassifier
X = [[0], [1], [2], [3]]
y = [0, 0, 1, 1]
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(X, y)
```"}] |
|
ãã¸ãšããŖãã¯å帰ãĸããĢãåŽčŖ
ããĻãã ããã | ```python
from sklearn.linear_model import LogisticRegression
X = [[0, 1], [1, 0], [2, 2]]
y = [0, 1, 0]
clf = LogisticRegression().fit(X, y)
``` | 167 | [{"from": "human", "value": "ãã¸ãšããŖãã¯å帰ãĸããĢãåŽčŖ
ããĻãã ããã"}, {"from": "gpt", "value": "```python
from sklearn.linear_model import LogisticRegression
X = [[0, 1], [1, 0], [2, 2]]
y = [0, 1, 0]
clf = LogisticRegression().fit(X, y)
```"}] |
|
įĨ芹ãĢįģå ´ãããããĒãæŗåä¸ãŽįãįŠãčĒįąãĢæããĻãã ããã | æŖŽãŽåĨĨæˇąããĢã¯ãäŧčĒŦãŽįãįŠãæŖŽãŽåŽãäēēããäŊãã§ããã¨č¨ãããĻããžãã
åŊŧãã¯ãäēēéãŽå§ŋããããåˇ¨å¤§ãĒ樚æ¨ãŽãããĒåå¨ã§ãã
åŊŧããŽäŊãĢã¯ãįˇãŽčãįãčããæãĢã¯ãæ§ã
ãĒį¨ŽéĄãŽæåŽãåŽãŖãĻããžãã
åŊŧãã¯ãæŖŽãŽããšãĻãŽįãįŠãåŽããæŖŽãŽããŠãŗãšãäŋã¤åŊšå˛ãæ
ãŖãĻããžãã
æŖŽãŽåŽãäēēã¯ãäēēã
ãĢã¯æģ
å¤ãĢå§ŋãčĻãããã¨ã¯ãããžããã
ããããæŖŽãĢåąæŠãč¨Ēããã¨ããåŊŧãã¯å§ŋãįžããäēēã
ãåŠããã¨ããããĻããžãã | 235 | [{"from": "human", "value": "įĨ芹ãĢįģå ´ãããããĒãæŗåä¸ãŽįãįŠãčĒįąãĢæããĻãã ããã"}, {"from": "gpt", "value": "æŖŽãŽåĨĨæˇąããĢã¯ãäŧčĒŦãŽįãįŠãæŖŽãŽåŽãäēēããäŊãã§ããã¨č¨ãããĻããžãã
åŊŧãã¯ãäēēéãŽå§ŋããããåˇ¨å¤§ãĒ樚æ¨ãŽãããĒåå¨ã§ãã
åŊŧããŽäŊãĢã¯ãįˇãŽčãįãčããæãĢã¯ãæ§ã
ãĒį¨ŽéĄãŽæåŽãåŽãŖãĻããžãã
åŊŧãã¯ãæŖŽãŽããšãĻãŽįãįŠãåŽããæŖŽãŽããŠãŗãšãäŋã¤åŊšå˛ãæ
ãŖãĻããžãã
æŖŽãŽåŽãäēēã¯ãäēēã
ãĢã¯æģ
å¤ãĢå§ŋãčĻãããã¨ã¯ãããžããã
ããããæŖŽãĢåąæŠãč¨Ēããã¨ããåŊŧãã¯å§ŋãįžããäēēã
ãåŠããã¨ããããĻããžãã"}] |
|
ããŧããŧãŽįŠčĒãæŗåŽããä¸ģäēēå
ŦãŽååã¨į´šäģæãäŊæããĻãã ããã | ä¸ģäēēå
ŦīŧãŦãĒããĢããģããģã´ãŖãŗã
į´šäģæīŧãŦãĒããĢããģããģã´ãŖãŗãã¯ããĢããĩãŗãšæãŽã¤ãŋãĒãĸãäģŖ襨ãã夊æį§åĻč
ã§ãããč¸čĄåŽļãįēæåŽļã§ããåŊŧãŽäģŖ襨äŊã§ããããĸããĒãļãããæåžãŽæŠé¤ãã¯ãįžå¨ã§ãä¸įä¸ã§æãããĻããžãã | 146 | [{"from": "human", "value": "ããŧããŧãŽįŠčĒãæŗåŽããä¸ģäēēå
ŦãŽååã¨į´šäģæãäŊæããĻãã ããã"}, {"from": "gpt", "value": "ä¸ģäēēå
ŦīŧãŦãĒããĢããģããģã´ãŖãŗã
į´šäģæīŧãŦãĒããĢããģããģã´ãŖãŗãã¯ããĢããĩãŗãšæãŽã¤ãŋãĒãĸãäģŖ襨ãã夊æį§åĻč
ã§ãããč¸čĄåŽļãįēæåŽļã§ããåŊŧãŽäģŖ襨äŊã§ããããĸããĒãļãããæåžãŽæŠé¤ãã¯ãįžå¨ã§ãä¸įä¸ã§æãããĻããžãã"}] |
|
čæą ããã¯ãšããŧãŗã§å¯ŋå¸ãéŖãšãĻããžããäŊãããããã§ããīŧ | å¯ŋå¸ã¯įŽ¸ãæã§éŖãšããã¨ãæŽéã§ããããšããŧãŗã§éŖãšããã¨ã¯ãããžããã | 66 | [{"from": "human", "value": "čæą ããã¯ãšããŧãŗã§å¯ŋå¸ãéŖãšãĻããžããäŊãããããã§ããīŧ"}, {"from": "gpt", "value": "å¯ŋå¸ã¯įŽ¸ãæã§éŖãšããã¨ãæŽéã§ããããšããŧãŗã§éŖãšããã¨ã¯ãããžããã"}] |
|
éŖ˛ãŋäŧãŽéä¸ã§åäēēãããããããĒæéã ãéģčģããĒãīŧãã¨č¨ããžããããŠããããã¨ã§ããīŧ | ãéģčģããĒããã¨ã¯ãããŽæĨãĢåãæįĩéģčģãŽįēčģæåģãéããĻããžãŖããã¨ãæåŗããĻãããåäēēã¯å¸°ãææŽĩããĒããĒãŖããã¨ãĢįĻãŖãĻããžãã | 110 | [{"from": "human", "value": "éŖ˛ãŋäŧãŽéä¸ã§åäēēãããããããĒæéã ãéģčģããĒãīŧãã¨č¨ããžããããŠããããã¨ã§ããīŧ"}, {"from": "gpt", "value": "ãéģčģããĒããã¨ã¯ãããŽæĨãĢåãæįĩéģčģãŽįēčģæåģãéããĻããžãŖããã¨ãæåŗããĻãããåäēēã¯å¸°ãææŽĩããĒããĒãŖããã¨ãĢįĻãŖãĻããžãã"}] |
|
å
ŦåãĢæŖäšąããĻããã´ããæ¸ãããããŽåéĄč§ŖæąēįãčããããŽč§ŖæąēįãåŽįžãããããŽå
ˇäŊįãĒæšæŗãč¨čŋ°ããĻãã ããã | å
ŦåãŽã´ãåéĄãč§ŖæąēãããããĢãå°åäŊæ°ã¨ååããĻãã´ãæžãã¤ããŗããéåŦããĻãŋãžããããã¤ããŗãã§ã¯ãåå č
ãĢã´ãæžããæĨŊããŋãĒããã§ããåˇĨå¤Ģãåãå
Ĩããžããã¯ã¤ãē大äŧãĒãŠã˛ãŧã æčĻã§åå ã§ããäŧįģãåãå
ĨããĻãŋãžãããã ãããĢãå
Ŧåå
ãĢã´ãįŽąãåĸč¨ããã¨ãæåšã§ãã | 192 | [{"from": "human", "value": "å
ŦåãĢæŖäšąããĻããã´ããæ¸ãããããŽåéĄč§ŖæąēįãčããããŽč§ŖæąēįãåŽįžãããããŽå
ˇäŊįãĒæšæŗãč¨čŋ°ããĻãã ããã"}, {"from": "gpt", "value": "å
ŦåãŽã´ãåéĄãč§ŖæąēãããããĢãå°åäŊæ°ã¨ååããĻãã´ãæžãã¤ããŗããéåŦããĻãŋãžããããã¤ããŗãã§ã¯ãåå č
ãĢã´ãæžããæĨŊããŋãĒããã§ããåˇĨå¤Ģãåãå
Ĩããžããã¯ã¤ãē大äŧãĒãŠã˛ãŧã æčĻã§åå ã§ããäŧįģãåãå
ĨããĻãŋãžãããã ãããĢãå
Ŧåå
ãĢã´ãįŽąãåĸč¨ããã¨ãæåšã§ãã"}] |