All Questions
Tagged with hyperparametergrid-search
6 questions
2votes
2answers
587views
Faster grid search with small dataset to derive best params instead of full dataset?
I have a dataset of 300 000 rows and an ensemble model, which include grid search to find the best params of every algorithm. Unfortunately the grid search needs to long and I have problems to ...
- 329
3votes
1answer
31views
Do i need to use hyperparamters from Gridsearch to train on WHOLE training set to get final model?
I just want to make sure i am on the right lines so please correct me if wrong. I am testing which hyperparmets are best for logisitic regession on my data X, y where X is featrues and y is target. X, ...
- 546
11votes
2answers
2kviews
What is the most efficient method for hyperparameter optimization in scikit-learn?
An overview of the hyperparameter optimization process in scikit-learn is here. Exhaustive grid search will find the optimal set of hyperparameters for a model. The downside is that exhaustive grid ...
- 22.9k
1vote
0answers
470views
How to perform platt scaling for hyperparameter-optimized model?
I'm using Python and have a best estimator from a grid search. Wanted to be able to calibrate the probability output accordingly, but would like to know more about implementing platt scaling. From ...
- 381
3votes
2answers
100views
Comparison of machine learning approaches for a topic in a scientific paper
As part of my master's thesis, I have made a prediction of data with approaches of machine learning in a topic where are no papers yet. The topic is a regression problem for which several machine ...
- 183
3votes
1answer
263views
Parameter tuning for machine learning algorithms
When it comes to the topic of tuning parameters, most of the time you read grid search. But if you have 6 parameters, for which you want to test 10 variants, you get to 10^6 = 1000000 runs. Which in ...
