All Questions
Tagged with tensorflowscikit-learn
32 questions
1vote
1answer
223views
How do I best approach a multiple-target binary classification in Tensorflow/Keras?
I currently have eight features which are either categorical or continuous variables. My targets are many (~1000) binary variables. So far I have attempted skmultilearn and sklearn.multioutput. I ...
0votes
0answers
29views
From features to sequence
I want to train a supervised algorithm capable to rebuild from features (like mean, std, feature from frequency domain etc.) the original signal, this signals is discrete and have different lengths. ...
0votes
1answer
335views
Scikit-learn and TensorFlow with very different MLP models
I'm using Multilayer Perceptron ANNs at the very beginning of my project (it's a binary classification problem). Because it's simpler, I started with Scikit-learn. I got a magic result, with my model ...
0votes
1answer
385views
Sklearn vs Pytorch vs Tensorflow vs Keras
I just need to understand the differences between sklearn, pytorch, tensorflow and keras in terms which implements traditional machine learning algorithms ( Linear regression , knn, decision trees, ...
1vote
0answers
2kviews
Equal error rate for multiclass (non-binary) classifier
In many biometrics identification papers they measure they performance by computing Equal Error Rate (EER). When dealing with verification problem, or any other binary classification problem - the ...
- 123
0votes
1answer
162views
Using 'Mlxtend' with 'TensorFlow' or 'Pytorch'
Is it possible to create a simple stacking implementation for regression with 'Mlxtend' using models created by 'TensorFlow' or 'Pytorch' however the documentation only supports examples that contain '...
- 101
0votes
1answer
66views
Machine Learning in Tensorflow
I am doing a work that is based on analyzing different Python libraries for Machine Learning. I chose to analyze Scikit-Learn, Keras, Tensorflow and Pytorch for being the most known ones. The idea was ...
0votes
1answer
31views
Tensorflow for Deeplearning and Machine learrning
We can use TensorFlow for both machine learning and deep learning. So why do we use scikit-learn more in machine learning and not TensorFlow? Are they both alternatives of each other?
user123037
0votes
2answers
1kviews
sklearn package with AttributeError: 'MissingValues' object has no attribute 'to_list'
I am currently trying to reproduce this tutorial on building a CNN based time series classifier for human activity recognition. My setup is: Windows 10, Pycharm IDE with a new project for this ...
-1votes
1answer
31views
Printing the tweets that were incorrectly predicted after applying a machine learning classifier
I applied the random forest classifier to my csv file to classify the tweets as spam or not spam and after an accuracy of 93%, when I printed the confusion matrix I got [[1068 105] [ 65 1262]]. Now ...
- 23
3votes
1answer
1kviews
How to choose between Tensorflow and Pytorch?
Recently I've been working on a pretty vanilla ANN model in Python with sklearn (and its preprocessing pipeline), mostly in jupyterhub notebooks if that matters. I am considering changing the ...
- 2,623
1vote
2answers
354views
Why do we need to have the test set remain consistent across multiple runs?
In the book Hands-on machine learning with scikit-learn and tensorflow: concepts, tools, and techniques to build intelligent systems, more specifically in Chapter 2, the writer is teaching us how to ...
0votes
1answer
182views
Training models from sklearn using tf.distribute.MirroredStrategy
I want to distribute the training of a simple model, such as a support vector classifier like sklearn.svm.SVC() across some or all CPUs and GPUs on a single device. I have never utilized a GPU before ...
1vote
1answer
1kviews
How to convert Scikit Learn logistic regression model to TensorFlow
I would like to use existing Scikit Learn LogisticRegression model in the BigQuery ML. However, BQ ML currently has a hard limit of 50 unique labels and my model needs to handle more than that. BQ ...
- 113
0votes
1answer
28views
How to derive association from a regression model?
I understand how to make predictions with a trained neural network model that uses loss=binary_crossentropy and a 1-node ...
- 549
