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Most of what I've been working on for my thesis has been so-called "encoding" models of electrode activity. This is quite similar to the decoding models already implemented in MNE, but where the outpu…
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Just updated sklearn:
```
$ python -c "import sklearn; print(sklearn, sklearn.__version__)"
(, '0.18')
```
Now receiving errors for importing model_selection modules:
```
In [3]: from sklearn.model…
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Epoch: [0][999/1000] Time 0.223 Loss 0.164
Epoch: [0][1000/1000] Time 0.226 Loss 0.185
Runnning forward pass on LFW images
Traceback (most recent call last):
File "facenet_train.py", line 298…
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Hello Professor,
I know these issues have been discussed before but I am unclear how to approach these functions. Firstly in the `cross_validation_accuracy` in the sklearn's documentation the KFold f…
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We recently merged a change to cross-validation generators that allows, e.g. KFold to be performed within the training of an outer KFold operation. This should be illustrated with an example. Be creat…
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FAIL: test_run_kfold_cross_validation_with_list_input (cross_validation_test.FeatureCrossValidationTest)
----------------------------------------------------------------------
Traceback (most recent …
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Hi Edward,
Thanks for sharing your code.
Would you like to help clarify some questions?
1) What are the differences between train.py, train_generator.py and train_kfold.py?
2) In the description, …
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I attempt to use tsfresh for a simple binary classification using a k-nearest-neighbor-classifier and k-fold-validation.
However, the classification accuracy depends on the order of the input time se…
fkirc updated
7 years ago
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In this method, we use the features of the result that had highest accuracy, and fit a classifier to training data.
Training Data is given as doc strings. Can we use kFold ? If not, how do we convert …
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Hi,
I am seeing an error when I am trying to call cross validation accuracy from eval all combinations saying
C:\Users\Sandeep\Anaconda3\lib\site-packages\scipy\sparse\csr.py in check_bounds(indice…