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 keras
Search options not deleted
user 271781
Open source high-level neural network library for Python and R. Uses TensorFlow as backend.
1
vote
Accepted
Using Lime on a binary classification neural network
I found the error, for anyone having the same problem, I had to change this to get it to work:
# changed x to x_train
explainer = lime.lime_tabular.LimeTabularExplainer(x_train, feature_names=list(x) …
- 53
3
votes
1
answer
3k
views
Using Lime on a binary classification neural network
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
from keras.models import Sequential
from keras.layers import Dense, Dropout
from keras import …
- 53