All Questions
29 questions
0votes
0answers
52views
How to improve validation score
I am working on time series classification. My data has 4 classes. I used this paper's architecture on my data (1611.06455). However, my results look like this : . Here is a link to my notebook I ...
- 139
0votes
1answer
863views
Fitting column wise ordinal encoder
I already posted this here but no response, so posting it here I have a dataframe like as shown below ...
- 2,715
0votes
3answers
156views
Creating numeric word representation of input sentences resulting in MemoryError
I am trying to use CountVectorizer to obtain word numerical word representation of data which is essentialy list of 160000 English sentences: ...
- 299
2votes
0answers
410views
Understanding an MLP coefficient array
I have implemented a super simple MLP using SKLearn. I have a 2 hidden layer model and 31 features on the input layer. So the lengths of the arays are 31, 20 and 10. ...
- 21
1vote
1answer
82views
Difference in result in every run of Neural network?
I have written a simple neural network (MLP Regressor), to fit simple data frame columns. To have an optimum architecture, I also defined it as a function to see whether it is converging to a pattern. ...
- 147
0votes
0answers
257views
text classification - does number of features matters?
I'm working on a multi-class text classification project that aims to assign a "new bug" to his "final group assignee" To do that I was able to extract ~17000 samples and divided ...
- 209
0votes
1answer
154views
Neural network for a data with 5 inputs and 1 output of 3 different types
I am trying to create a neural network for my data which is as follows ...
2votes
2answers
6kviews
Feature scaling for MLP neural network sklearn
I am working with a dataset where the features have multiple scales. Before running scikit-learns's MLP neural network I was reading around and found a variety of different opinions for feature ...
2votes
3answers
9kviews
ValueError: "The estimator should be a classifier"
I am adapting sklearn-extension ELMClassifier to be accepted as base_estimator to both VotingClassifier and AdaboostClassifier. ...
- 395
-1votes
1answer
42views
How to use entire file as unique sample for classification in scikit-learn?
My dataset is split in different files, since i'm using EEG data collected for BCI (Brain-Computer Interface) classification. Here is what i have: Each .txt file ...
- 395
1vote
2answers
1kviews
Is it possible to know the output vectors of MLP Classifier of scikit learn?
I'm a beginner with scikiti-learn library. I have an ANN with 3 input, 2 hidden layers and 3 output. ...
- 113
1vote
2answers
1kviews
Choosing best predictors neural networks
there, I'm currently working on a project where my database has about 120 patterns with 39 columns and I am trying to build a predictive neural network out of it. It's regression task. I was trying ...
- 111
1vote
1answer
9kviews
hyperparameter tuning with validation set
For what I know, and correct me if I am wrong, the use of cross-validation for hyperparameter tuning is not advisable when I have a huge dataset. So, in this case it is better to split the data in ...
- 227
0votes
1answer
575views
Getting different precisions for same neural network with same dataset and hyperparameters in sklearn mlp classifier
I get WAY DIFFERENT results in each run despite using random state for making sure that network outputs same result for same hyper parameters, here is some sample outputs(I've printed the hyper ...
1vote
1answer
226views
Splitting large multi class dataset using leave one out scheme into train and test
I am doing some supervised learning using neural networks, and i have a Targets array containing 1906 samples, which contain 664 unique values. min. count of each unique value==2, by design. Is there ...
- 41
