id stringlengths 8 9 | chunk_id stringlengths 8 9 | text stringclasses 6
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values | start_code int64 356 8.04k | stop_code int64 386 8.58k | __index_level_0__ int64 0 35 |
|---|---|---|---|---|---|---|---|---|
chap04-0 | chap04-0 | 4
Implementing Text Classification Using Perceptron and Logistic Regression
In the previous chapters we have discussed the theory behind the perceptron and logistic regression, including mathematical explanations of how and why they are able to learn from examples.
In this chapter we will transition from math to co... | 11,350 | 11,432 | #!/usr/bin/env python
# coding: utf-8
# # Binary Text Classification with Perceptron
# In[1]:
import random
import numpy as np
from tqdm.notebook import tqdm
# set this variable to a number to be used as the random seed
# or to None if you don't want to set a random seed
seed = 1234
if seed is not None:
rando... | 5,070 | 5,166 | 0 |
chap04-1 | chap04-1 | 4
Implementing Text Classification Using Perceptron and Logistic Regression
In the previous chapters we have discussed the theory behind the perceptron and logistic regression, including mathematical explanations of how and why they are able to learn from examples.
In this chapter we will transition from math to co... | 16,510 | 16,556 | #!/usr/bin/env python
# coding: utf-8
# # Binary Text Classification with
# # Logistic Regression Implemented from Scratch
# In[1]:
import random
import numpy as np
from tqdm.notebook import tqdm
# set this variable to a number to be used as the random seed
# or to None if you don't want to set a random seed
see... | 4,482 | 4,514 | 1 |
chap04-2 | chap04-2 | 4
Implementing Text Classification Using Perceptron and Logistic Regression
In the previous chapters we have discussed the theory behind the perceptron and logistic regression, including mathematical explanations of how and why they are able to learn from examples.
In this chapter we will transition from math to co... | 27,786 | 27,991 | #!/usr/bin/env python
# coding: utf-8
# # Multiclass Text Classification with
# # Logistic Regression Implemented with PyTorch and CE Loss
# First, we will do some initialization.
# In[1]:
import random
import torch
import numpy as np
import pandas as pd
from tqdm.notebook import tqdm
# enable tqdm in pandas
tqd... | 2,684 | 2,750 | 2 |
chap04-3 | chap04-3 | 4
Implementing Text Classification Using Perceptron and Logistic Regression
In the previous chapters we have discussed the theory behind the perceptron and logistic regression, including mathematical explanations of how and why they are able to learn from examples.
In this chapter we will transition from math to co... | 16,420 | 16,500 | #!/usr/bin/env python
# coding: utf-8
# # Binary Text Classification with
# # Logistic Regression Implemented from Scratch
# In[1]:
import random
import numpy as np
from tqdm.notebook import tqdm
# set this variable to a number to be used as the random seed
# or to None if you don't want to set a random seed
see... | 4,407 | 4,453 | 3 |
chap04-4 | chap04-4 | "4 \n\nImplementing Text Classification Using Perceptron and Logistic Regression \n\nIn the previous(...TRUNCATED) | 9,407 | 9,479 | "#!/usr/bin/env python\n# coding: utf-8\n\n# # Binary Text Classification with Perceptron\n\n# In[1](...TRUNCATED) | 3,534 | 3,558 | 4 |
chap04-5 | chap04-5 | "4 \n\nImplementing Text Classification Using Perceptron and Logistic Regression \n\nIn the previous(...TRUNCATED) | 10,827 | 10,931 | "#!/usr/bin/env python\n# coding: utf-8\n\n# # Binary Text Classification with Perceptron\n\n# In[1](...TRUNCATED) | 4,004 | 4,054 | 5 |
chap04-6 | chap04-6 | "4 \n\nImplementing Text Classification Using Perceptron and Logistic Regression \n\nIn the previous(...TRUNCATED) | 23,684 | 24,252 | "#!/usr/bin/env python\n# coding: utf-8\n\n# # Multiclass Text Classification with \n# # Logistic Re(...TRUNCATED) | 1,551 | 1,715 | 6 |
chap04-7 | chap04-7 | "4 \n\nImplementing Text Classification Using Perceptron and Logistic Regression \n\nIn the previous(...TRUNCATED) | 22,466 | 22,543 | "#!/usr/bin/env python\n# coding: utf-8\n\n# # Multiclass Text Classification with \n# # Logistic Re(...TRUNCATED) | 1,054 | 1,179 | 7 |
chap04-8 | chap04-8 | "4 \n\nImplementing Text Classification Using Perceptron and Logistic Regression \n\nIn the previous(...TRUNCATED) | 8,010 | 8,094 | "#!/usr/bin/env python\n# coding: utf-8\n\n# # Binary Text Classification with Perceptron\n\n# In[1](...TRUNCATED) | 2,401 | 2,437 | 8 |
chap04-9 | chap04-9 | "4 \n\nImplementing Text Classification Using Perceptron and Logistic Regression \n\nIn the previous(...TRUNCATED) | 19,082 | 19,452 | "#!/usr/bin/env python\n# coding: utf-8\n\n# # Binary Text Classification with \n# # Logistic Regres(...TRUNCATED) | 4,090 | 4,394 | 9 |
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