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Bookmark or Share- Python library for segmented regression (a.k.a. piecewise regression ...There is a blog post with a recursive implementation of piecewise regression. That solution fits discontinuous regression. If you are unsatisfied with discontinuous model and want continuous seting, I would propose to look for your curve in a basis of k L-shaped curves, using Lasso for sparsity:. import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import Lasso ...
- Training accuracy is ~97% but validation accuracy is stuck at ~40%I am trying to classify images into 27 classes using a Conv2D network. The training accuracy rises through epochs as expected but the val_accuracy and val_loss values fluctuate severely and are not good enough.
- machine learning - Adding more layers decreases accuracy - Data Science ...The problem in your case (as I thought previously) is the sigmoid activation function. It suffers from many problems. Out of that your performance decrease is likely due to two reasons:
- machine learning - Data Science Stack ExchangeI am trying to build a Regression model and I am looking for a way to check whether there's any correlation between features and target variables?. This is my sample dataset. Loan_ID Gender Married Dependents Education Self_Employed ApplicantIncome\ 0 LP001002 Male No 0 Graduate No 5849 1 LP001003 Male Yes 1 Graduate No 4583 2 LP001005 Male Yes 0 Graduate Yes 3000 3 LP001006 Male Yes 0 Not ...
- training - Should Discriminator Loss increase or decrease? - Data ...Looking for a black and white tv episode or movie that ends with the woman might be a vampire about to bite the man
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