-
```
import xgboost as xgb
import numpy as np
import m2cgen as m2c
from sklearn.datasets import load_boston
# train a model and save it as c code with m2cgen
X, y = load_boston(return_X_y=True)…
-
Hi @kbattocchi ,
I used the following code to calculate the ATE for my panel data (around ~$18).
dml = DynamicDML(model_y=outcome_model,
model_t=treatment_model,
…
-
Hi there!
This is an AWESOME library! I simply cannot express my happiness with this super helpful library enough..
Anyways, I think it would be really nice if Xcessiv supports multiple datasets…
-
Hello,
I've trained a StackingClassifier for a model and wanted to save the kernal explainer as a pickle file. I'm using the below code snippet
```
clf = sklearn.ensemble.StackingClassifier(
…
-
https://github.com/sktime/sktime/blob/3c40420da9abfc64198a968a15870ce662c688c9/sktime/forecasting/base/_base.py#L598
Hi together,
every time I am trying to use one of the above functions, I get …
-
- [x] Benchmark and record time/cost of building and storing cube
- [ ] With PM, determine if additional build or storage costs need to be optimized. Determine targets.
- [ ] Optimize build efficienc…
-
see
- #3221
- #8129
- #9227
**update** basic models are merged, extensions missing, e.g. essentially only biweight norm has full support
Maronna and Yohai 2017 recommend MM-estimator for p < …
-
I thought that the `expected_value` was calculated by averaging the predictions, but I'm not being able to do it manually.
Fully reproducible example below using latest `master`.
```
import numpy…
-
DistQuantilesGMM is a victim of the previous round of GMM and GMMResults refactoring.
It was written based on articles for estimating distributions, and doesn't have the GMM pattern of individual ob…
-
Hey there,
I tried running the Deep RF and DNN code. I got the DNN code working no problem, but the Deep RF code apparently has a couple issues. In FTDRF_test.py ("y_sp = y_sp.astype('uint8')") see…