Comments (6)
ankane
commented on August 22, 2024
Hey @Aliciawyse, weights aren't currently supported right now, but happy to review a PR.
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Aliciawyse
commented on August 22, 2024
Hey there @ankane thanks for the feedback!
Another quick question... Can your code do multivariable linear regression?
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Aliciawyse
commented on August 22, 2024
Ah, I see that it does here.
eps/test/linear_regression_test.rb
Line 78 in aa9c84a
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ankane
commented on August 22, 2024
Just added weights to LightGBM, so it should be a bit easier to add it to the other algorithms.
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ankane
commented on August 22, 2024
Sorry for the noise. Weighted OLS is now on master 🎉
Eps::Model.new(data, weight: [1, 2, 3]) # pass an array
Eps::Model.new(data, weight: :weight) # or a key in datafrom eps.
Aliciawyse
commented on August 22, 2024
Oh snaps! This is great! Thanks @ankane 💯 Giving this a try today!
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Related Issues (20)
- Update production models without reprocessing all data HOT 3
- Question about computing the intercept HOT 2
- erroneous results when using categorical variables with linear regression algorithm HOT 19
- runtime error: Unknown Label with lightgbm algorithm HOT 2
- Possible edge case issue with intercept and RMSE calculated value HOT 4
- `_summary': undefined method `feature_importance' for nil:NilClass (NoMethodError) HOT 1
- Could not find OpenMP HOT 2
- How to retrain / continue training a model HOT 2
- help with errors HOT 3
- bug in evaluator? HOT 4
- LightGBM model summary raises ArgumentError HOT 1
- ArgumentError: comparison of String with 1.0000000180025095e-35 failed HOT 1
- Stack level too deep HOT 1
- Gem matrix needed for Ruby version > 3.0 HOT 2
- Can you tell me why it called EPS ? HOT 1
- Memory requirements? HOT 1
- Can't run the detailed example in plain Ruby project HOT 1
- Question: number of samples HOT 7
- Using a categorical target raises an exception HOT 2
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