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### Code sample
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```python
# Your code here
import pandas as pd
import numpy as np
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import mutual_info_clas…
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#### Describe the workflow you want to enable
Currently, `RFECV` searches for the optimal number of features to provide the best score. It then fits an `RFE` on the whole training set: [L566](htt…
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When using `SVC(probability=True)` ~~or `SVR(probability=True)`~~ the output of `predict_proba` will not necessarily be consistent with `predict`, in the sense that,
```py
np.argmax(self.predict_pro…
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The following examples show that trying to build a GAM and using cross-validation via {{fold_column}} (and also {{nfolds}}) results in Null Pointer Exception only when used inside {{h2o.grid}}, but no…
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Can you provide malware.csv & ALL.csv? Thank you
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Hey,
do you think, I should use cross-validation of my trainingdata while fine-tune a model for semantic search (and simalirity task)?
Surprisingly I always ignored this...
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I would like to move to 2.13 but have lot of errors with 3.0.1 version is the 3.0.2 or current code is fixing it ?
requirement file is not limiting the tf version indeed.
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```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
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```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…
-
```
Initialize random number generator with srand() in classRF.cpp, otherwise
seedMT is seeded deterministically.
#include
srand ( time(NULL) );
prior to:
seedMT(2*rand()+1);
```
Original iss…