Skip to content

issues Search Results · repo:dclambert/Python-ELM language:Python

Filter by

10 results
 (72 ms)

10 results

indclambert/Python-ELM (press backspace or delete to remove)

Hello, I m using your implementation of ELMClassifier to run some experiments. I see it was implemented following sklearn coding interface, so i was trying to run your algorithm through a dataset and ...
  • henrique-voni
  • Opened 
    on Sep 15, 2020
  • #21

The README says that the centers and radius are taken as follows: centers are taken uniformly from the bounding hyperrectangle of the inputs, and radius = max(||x-c||)/sqrt(n_centers*2) but citation ...
  • javiribera
  • 2
  • Opened 
    on Jul 24, 2019
  • #19

Is anyone aware of any GPU implementation of ELM? This package is based on scikit-learn, so it will probably never support GPU. I am looking for a way to speed up the computation.
  • javiribera
  • Opened 
    on Jul 22, 2019
  • #18

from elm import ELMClassifier import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets( MNIST_data , one_hot=True) train = mnist.train.next_batch(100) ...
  • namedysx
  • 1
  • Opened 
    on Sep 23, 2018
  • #14

elmc.fit(x_train,y_train) Traceback (most recent call last): File stdin , line 1, in module File /home/analytics/anaconda3/lib/python3.6/site-packages/sklearn_extensions/extreme_learning_machines/elm.py ...
  • harshinielath
  • 1
  • Opened 
    on Jan 30, 2018
  • #13

Hi, I have read the classifiers code. In the top of the code it is commented that it can learn different kernels. How about Normalized Radial Basis Function? Any example of code?
  • roviury
  • Opened 
    on Jan 22, 2018
  • #12

Please tell me how can i use it for my datasets. what steps are require to implement it.
  • IITtense
  • 2
  • Opened 
    on Oct 2, 2016
  • #5

Hi I recently needed to predict the class probabilities instead of the class labels. So I wrote a predict_proba() method, sticking to the convention used in other scikit classifiers. I added the following ...
  • srimalj
  • 3
  • Opened 
    on Mar 11, 2016
  • #4

Hi Thanks for the code. The function atleast2d_or_csr() used in random_layer.py does not seem to be available any more with the new scikit-learn 0.17.0 I managed to work around this temporarily by defining ...
  • srimalj
  • 4
  • Opened 
    on Mar 11, 2016
  • #3

The “extreme learning machines (ELM)” are indeed worth working on, but they just shouldn’t be called “ELM”. With annotated PDF files at http://elmorigin.wix.com/originofelm , you can easily verify the ...
  • ELM-Xposed
  • Opened 
    on Aug 19, 2015
  • #2
Issue origami icon

Learn how you can use GitHub Issues to plan and track your work.

Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub Issues
ProTip! 
Press the
/
key to activate the search input again and adjust your query.
Issue origami icon

Learn how you can use GitHub Issues to plan and track your work.

Save views for sprints, backlogs, teams, or releases. Rank, sort, and filter issues to suit the occasion. The possibilities are endless.Learn more about GitHub Issues
ProTip! 
Press the
/
key to activate the search input again and adjust your query.