Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with python
Search options not deleted
user 32429
Use for data science questions related to the programming language Python. Not intended for general coding questions (which should be asked on Stack Overflow).
3
votes
1
answer
2k
views
SARIMAX with seasonality greater than one year
I would use Statsmodels SARIMAX with data having seasonality greater than one year.
In my case, I have seasonality equal 4 years, therefore I have tried:
smt.SARIMAX(endog, order=(p, d, q), seasonal_ …
- 715
0
votes
1
answer
3k
views
How to correctly infer vectors in Gensim doc2vec?
I would like to know which is the correct procedure for inferring vectors in Gensim doc2vec.
I have a dataframe df with a feature, called name, and composed of two subsets train and test.
df = trai …
- 715
2
votes
1
answer
458
views
Mismatching target dimension in Keras LSTM
I have built this network for text classification:
model = Sequential()
model.add(Embedding(vocabulary_dim, 150, input_length=max_length))
model.add(LSTM(150, return_sequences=False))
model.add(Dens …
- 715
4
votes
Accepted
Xgboost - How to use feature_importances_ with XGBRegressor()?
Finally I have solved this issue by:
model.booster().get_score(importance_type='weight')
- 715
12
votes
3
answers
42k
views
Xgboost - How to use feature_importances_ with XGBRegressor()?
How could we get feature_importances when we are performing regression with XGBRegressor()?
There is something like XGBClassifier().feature_importances_?
- 715
1
vote
1
answer
707
views
How to correctly pass Word2Vec vectors as input to an LSTM
I am trying to build a text classifier using lstm which, in its first layer, has weights get by a Word2Vecmodel.
In order to build a matrix containing the indexes of each word for each sentence, I ha …
- 715