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Hi Vadim and team,
I was doing some benchmarking runs with DIA-NN 1.9.2, using different settings on the same data.
When I ran both the single pass NN and double pass NN machine learning modes (wi…
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Double Machine Learning（DML）是一种半参数估计方法，旨在通过结合机器学习和传统经济计量学技术来解决因果推断问题。该方法最初由 Victor Chernozhukov、Denis Chetverikov和Christian Hansen等人于2017年提出。
DML方法的主要思想是使用两个机器学习模型来估计因果效应。第一个模型被用来预测因变量，而第二个模型被用来预测干…
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Hi,
I have trained a Machine Learning Potential using NequIP version 0.5.6.
Now I want to run MD with this MLP using LAMMPS (version 29 August 2024) and pair_nequip (latest git version). I am ru…
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### Elasticsearch Version
8.15
### Installed Plugins
_No response_
### Java Version
_bundled_
### OS Version
Ubuntu 22.04 LTS
### Problem Description
Documentation followed: https://www.elast…
ivssh updated
2 months ago
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On this [website](https://github.com/py-why/EconML/blob/main/notebooks/Double%20Machine%20Learning%20Examples.ipynb), the fourth line of code is:
```
# Treatment effect function
def exp_te(x):
…
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### Description
Wrong file is compiled for online display
### (Optional:) Please add any files, screenshots, or other information here.
_No response_
### (Required) What is this issue most closely…
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## Feature Request
**Is your feature request related to a problem? Please describe.**
See the implemented [double balancing algorithm](https://github.com/asreview/asreview/blob/main/asreview/model…
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Hi! Anyone knows of existing papers or methods, that applies Double ML to highly imbalanced dataset with, for example, a dataset with less than 1% samples being positively treated while the other >99%…
ghost updated
2 years ago
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First of all, let me say how awesome I find the integration between econml and dowhy - I very much prefer expressing my problem in the graph language, and then choosing the right EconML machinery to s…
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# Motivation
flixOpt aims at creating a robust results file from solved calculation, which allows to analyze and evaluate a model at any time after solving it. Any user can profit from this feature
…