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Tensorflow version conflict between Spyder and Anaconda-Prompt

I downloaded the TensorFlow version 1.14.0 from Anaconda Prompt. pip install tensorflow==1.14.0 When I check the version of Tensorflow from...

Asked on 12/09/2020 by Rina

0 answer

How to specify version for dependencies so that each one is compatible and stays within a size limit?

I am trying to deploy a web app to Heroku. The free tier is limited to 500 MB. I am using my resnet34 model as a .pkl file. I create...

Asked on 12/09/2020 by truth

1 answer

Ways to increase recall in SVM

I am training an SVM on UCI's Bank Marketing Data Set, the bank additional-full.csv. As the data is skewed I am also interested in recall. I am...

Asked on 12/09/2020 by Tanmey Rawal

1 answer

How to do hidden variable learning in Bayesian Network with Python?

I learned how to use libpgm in general for Bayesian inference and learning, but I do not understand if I can use it for learning with hidden...

Asked on 12/09/2020

1 answer

Detection of a very large object (vehicle) in a single static camera

I'm trying to make a deep learning model for an automated detection and classification of vehicles (i.e cars, bus, trucks, etc) in a paid parking lot, but since the cameras...

Asked on 12/09/2020 by Divyanshu Gupta

0 answer

best distance measure for linked data

hello let suppose that I have an ndarray for linked data which look like this+----+----+----+----+----+----+----+| | p1 | p2 | p3 | p4 | p5 |...

Asked on 12/09/2020 by RAbeeq

0 answer

Restricting a weight vector (optimization parameter) to be in a certain domain using python ML library linear regression model

Sorry if the title is a bit long, but basically I'm trying to predict values $$ hat{y}_i in [-1,1]$$ using a simple model i.e. something like OLS or ridge...

Asked on 12/09/2020 by darthbungholio

1 answer

Light GBM Regressor, L1 & L2 Regularization and Feature Importances

I want to know how L1 & L2 regularization works in Light GBM and how to interpret the feature importances. Scenario is: I used LGBM Regressor with RandomizedSearchCV (cv=3, iterations=50)...

Asked on 12/09/2020 by Vikrant Arora

2 answer

Unsupervised Learning - Using the Outcome of Learning

My understanding in Unsupervised Learning is that -- when you want a computer to learn on its own by examining a large dataset. The goal is to establish some form...

Asked on 12/08/2020

2 answer

How to set weights in multi-class classification in xgboost for imbalanced data?

From this post, I know you can set scale_pos_weight for an imbalanced dataset. However, for the multi-classification problem in the imbalanced dataset, I don't quite understand how to...

Asked on 12/08/2020 by Abhishek Niranjan

1 answer

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