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related
#1790
#2898
#5674
I'm looking at M-estimators that are defined through estimating equations, moment conditions and don't have a specified (or simple) objective function.
computational…
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generic model based on estimating equation for example add a non-MLE variance estimate in addition to score/estimating equation of mean function
related
#4729 score or CM test based on EE or GMM
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Hello,
Thank you for your excellent work on this project.
I would like to ask how to add new factors to the graph, such as wheel speed or TDCP (Time Differences of Carrier Phase). What parts of …
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Hi again! I have yet another question, this time to do with sharding.
Essentially, I'm trying to shard to improve performance, but I would like the output to be the same as that of `vmap`.
**Ba…
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### What happened?
When Kepler latest is deployed along with the estimator and model-server(release-0.7.11) on the VM, Kepler is unable to unmarshal array while creating Power Model for Platform and …
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**Describe the bug**
Saving trained `LSTMFCNRegressor` when enabling `attention=True` will raise errors.
Errors look like:
```
Traceback (most recent call last):
File "", line 1, in
File …
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### Description
As mentioned in [TensorFlow's release note for version 2.16.1](https://github.com/tensorflow/tensorflow/releases/tag/v2.16.1), the breaking change that removes [tensorflow-estimator…
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We are not using \rho(x) as the cost. We are using w(x) x^T x.
This should be changed.
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The issue is as described in the title and an example is given below. I'm not sure if this is expected due to algorithmic differences between the estimators, but it would be good to know.
library(d…
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Hi all,
The n_estimators value on the best model (`automl.model`) provided by FLAML does not seem to be set correctly for CatBoostClassifiers.
Example code here:
```
from flaml import AutoML…