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followup to #696
specifically what inference can we use after estimation.
question that I'm looking at right now is whether QuantReg should use t or normal distribution. (I'm adding a `use_t` option …
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I would like to export BERT feature extraction for use via tensorflow serving.
Following what has been done here: https://github.com/bigboNed3/bert_serving, I modified `extract_features.py` by addi…
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Out of curiosity (and for a comparison to [Tevatron](https://github.com/texttron/tevatron/tree/main)) I tried running the [MSMarco MRNL](https://github.com/UKPLab/sentence-transformers/blob/master/exa…
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see also #3270
Dropping outliers or hard rejection weights is one of the easiest way to get high efficiency after using a high breakdown estimator in an initial stage. We can do the reweighting for…
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I'm trying to extend autosklearn estimators list with XGBoostClassifier. When XGBoostClassifier runs alone (as an estimator), it uses roughly half of the available cores (and appears to be working jus…
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# Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [x] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
- [x] I am reporting…
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just parking references to read more carefully for implementation
I don't find an issue specifically for S-estimator.
related #8997 MM-estimator
Do we base the estimation on an objective functi…
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Sorry to bother you. Right now I am using this drift project to estimate my biped robot. But I found there are many delays of my estimated orientation and COM position in world frame. What can I do to…
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From user [~accountid:557058:168c187c-bd44-429d-8971-7a1f7e2ce2f6]
The documentation states support for SVM but in my testing it doesn’t seem to have_mojo or have_pojo:
{code:python}import h2o
…
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add a partially robust sandwich estimator for clusters or GEE
similar #3495 it is only misspecification robust to part of the covariance
I didn't look at details, my context is regularized, penali…