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TDIF toarray() returns an array of zeros
minimization with a negative cost function: works in MATLAB, not in PythonHandling categorical features in Factorization Machines algorithm - Feature Hashing vs. One-Hot encodingIdf values of English wordsSklearn tfidf vectorize returns different shape after fit_transform()ANN applied to Boston Housing dataset returns negative valueMultidimensional Groupby to ND ArrayDo I need a next for loop in order to get all values?XGBoost: Quantifying Feature ImportancesFace Recognition Using HOG+SVMIndexError: too many indices for array
$begingroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c = tvec.get_feature_names()
print(radius)
This returns the correct values, but when I try to convert it to array, I get an array of zeros instead.
Sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
python sentiment-analysis tfidf
edited Mar 19 at 11:43
tuomastik
753418
asked Mar 19 at 3:52
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c = tvec.get_feature_names()
print(radius)
This returns the correct values, but when I try to convert it to array, I get an array of zeros instead.
Sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
python sentiment-analysis tfidf
edited Mar 19 at 11:43
tuomastik
753418
asked Mar 19 at 3:52
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c = tvec.get_feature_names()
print(radius)
This returns the correct values, but when I try to convert it to array, I get an array of zeros instead.
Sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
python sentiment-analysis tfidf
edited Mar 19 at 11:43
tuomastik
753418
asked Mar 19 at 3:52
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
radius = tvec.fit_transform(test_df.Tweet_lemmatized)
c = tvec.get_feature_names()
print(radius)
This returns the correct values, but when I try to convert it to array, I get an array of zeros instead.
Sample of correct values for radius:
(0, 931) 0.46436660485060216
(0, 861) 0.2968833582955266
(0, 484) 0.41499526789066504
(0, 363) 0.3991012474411105
(0, 560) 0.46436660485060216
(0, 1300) 0.3861148871586334
(1, 861) 0.31024421676439334
(1, 1252) 0.38207837156371705
(1, 935) 0.2915380548059053
(1, 894) 0.4852648341103948
(1, 299) 0.4550847285244575
(1, 670) 0.2766014729498025
(1, 1250) 0.3920175536236695
(2, 861) 0.30814515003485
but radius.toarray() and radius.todense() returns:
[[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
...
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]
[0. 0. 0. ... 0. 0. 0.]]
radius.shape is (498, 1776)
python sentiment-analysis tfidf
python sentiment-analysis tfidf
edited Mar 19 at 11:43
tuomastik
753418
asked Mar 19 at 3:52
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited Mar 19 at 11:43
tuomastik
753418
asked Mar 19 at 3:52
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited Mar 19 at 11:43
tuomastik
753418
edited Mar 19 at 11:43
tuomastik
753418
edited Mar 19 at 11:43
tuomastik
753418
753418
asked Mar 19 at 3:52
IvyIvy
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Mar 19 at 3:52
IvyIvy
1
asked Mar 19 at 3:52
IvyIvy
1
1
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Ivy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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