How to combine scipy sparse csr matrix to pandas dataframe. | Combining text feature with numerical features
$begingroup$
I have both textual and numerical features on my data set. (1 textual feature, 4 numeric features).
For the textual feature I use tfidf vectoriser to convert my textual data into numbers.
X_train is my training dataset. X_test is my testing dataset. (Both are pandas dataframe objects.)
x_train_text_matrix = tfidf.fit_transform(X_train['Text Column'])
x_test_text_matrix = tfidf.transform(X_test['Text Column'])
type(x_train_text_matrix)
The type of x_train_text_matrix is "scipy sparse csr matrix"
How do I add the other numerical features to this matrix to train my machine learning model.
machine-learning scikit-learn dataset pandas scipy
asked 8 mins ago
ShrayShray
61
$endgroup$
add a comment |
$begingroup$
I have both textual and numerical features on my data set. (1 textual feature, 4 numeric features).
For the textual feature I use tfidf vectoriser to convert my textual data into numbers.
X_train is my training dataset. X_test is my testing dataset. (Both are pandas dataframe objects.)
x_train_text_matrix = tfidf.fit_transform(X_train['Text Column'])
x_test_text_matrix = tfidf.transform(X_test['Text Column'])
type(x_train_text_matrix)
The type of x_train_text_matrix is "scipy sparse csr matrix"
How do I add the other numerical features to this matrix to train my machine learning model.
machine-learning scikit-learn dataset pandas scipy
asked 8 mins ago
ShrayShray
61
$endgroup$
add a comment |
$begingroup$
I have both textual and numerical features on my data set. (1 textual feature, 4 numeric features).
For the textual feature I use tfidf vectoriser to convert my textual data into numbers.
X_train is my training dataset. X_test is my testing dataset. (Both are pandas dataframe objects.)
x_train_text_matrix = tfidf.fit_transform(X_train['Text Column'])
x_test_text_matrix = tfidf.transform(X_test['Text Column'])
type(x_train_text_matrix)
The type of x_train_text_matrix is "scipy sparse csr matrix"
How do I add the other numerical features to this matrix to train my machine learning model.
machine-learning scikit-learn dataset pandas scipy
asked 8 mins ago
ShrayShray
61
$endgroup$
I have both textual and numerical features on my data set. (1 textual feature, 4 numeric features).
For the textual feature I use tfidf vectoriser to convert my textual data into numbers.
X_train is my training dataset. X_test is my testing dataset. (Both are pandas dataframe objects.)
x_train_text_matrix = tfidf.fit_transform(X_train['Text Column'])
x_test_text_matrix = tfidf.transform(X_test['Text Column'])
type(x_train_text_matrix)
The type of x_train_text_matrix is "scipy sparse csr matrix"
How do I add the other numerical features to this matrix to train my machine learning model.
machine-learning scikit-learn dataset pandas scipy
machine-learning scikit-learn dataset pandas scipy
asked 8 mins ago
ShrayShray
61
asked 8 mins ago
ShrayShray
61
asked 8 mins ago
ShrayShray
61
asked 8 mins ago
ShrayShray
61
asked 8 mins ago
ShrayShray
61
61
add a comment |
add a comment |
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