Python

Search

Implementing the hashing trick

# Import HashingVectorizer
from sklearn.feature_extraction.text import HashingVectorizer

# Get text data: text_data
text_data = combine_text_columns(X_train)

# Create the token pattern: TOKENS_ALPHANUMERIC
TOKENS_ALPHANUMERIC = '[A-Za-z0-9]+(?=s+)' 

# Instantiate the HashingVectorizer: hashing_vec
hashing_vec = HashingVectorizer(token_pattern=TOKENS_ALPHANUMERIC)

# Fit and transform the Hashing Vectorizer
hashed_text = hashing_vec.fit_transform(text_data)

# Create DataFrame and print the head
hashed_df = pd.DataFrame(hashed_text.data)
print(hashed_df.head())

Comment

PREVIOUS	NEXT

Code Example
Python :: python flask rest api upload image
Python :: HIDING AND ENCRYPTING PASSWORDS IN PYTHON USING ADVPASS
Python :: bold colors in pytohn
Python :: incrtease frame size legend
Python :: django startapp in a folder,,while inside that folder
Python :: how to install python on linux chromebook
Python :: matplotlib gfg
Python :: pd.generate_date
Python :: Python - Create a text border with dynamic size
Python :: read the entire images in the dataset
Python :: TypeError: strptime() argument 1 must be str, not list
Python :: ex: git push new local repo
Python :: Horizontal stacked percent bar chart - with dataframe, seaborn colormap
Python :: python code optimization
Python :: django Account has no customer
Python :: crank nicholson scheme python
Python :: poisson disc python
Python :: file attributes in os
Python :: tkinter titre fenetre
Python :: numpy documentation realpython
Python :: python vergleichsoperatoren
Python :: how to tokenize a dataframe in python csv
Python :: username__icontains in django
Python :: work day prior to date python
Python :: python creare decoratori
Python :: somma array python
Python :: true false array to black and white
Python :: Return the indices of the bins
Python :: knn example
Python :: i for i

Search

PYTHON

Implementing the hashing trick

ADD CONTENT