EconML
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py-why
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
I would like to know if it is possible to recover the estimates of a simple linear regression. I would have thought that fitting a LinearDML algorithm with (1) LinearRegression()...
Hi~ I need to use a pure Causal Forest without DML. So I am wondering if there is a pure Causal Forest model without DML. And how can I use...
updates: - [github.com/astral-sh/ruff-pre-commit: v0.12.2 → v0.14.8](https://github.com/astral-sh/ruff-pre-commit/compare/v0.12.2...v0.14.8)
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I’m trying to build a model for the heterogenous treatment effect using the `CausalForestDML` class where the nuisance functions are fitted by a CatBoost regressor. Although this works fine for...
PEP 621 violation causes issues with installing databricks. Signed-off-by: Dustin Smith [email protected] Fixes py-why/EconML#1010
I'm trying to install econml on a databricks cluster with type r8g.large and I'm getting this error. The weird thing is i installed it on a different cluster with a...
When fitting a `SparseLinearDML` model, one can pass an `n_jobs` argument to the constructor to specify the number of cores used when fitting. However, this only applies to the LASSO...
Adding support for cluster-robust standard errors. Implementation: - Add clustered variance computation methods to `StatsModelsLinearRegression` and `StatsModels2SLS` classes, using existing groups parameter plumbing. Matches `linearmodels` package implementation. - Add `cov_type`...
Here is a code to see the problem: ```python import numpy as np import pandas as pd from sklearn.impute import SimpleImputer from sklearn.preprocessing import StandardScaler from sklearn.pipeline import Pipeline from...
