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Hi, I am using the library for feature elimination
dataset: 400k * 50 all numeric columns
meta model :
```
RandomForestRegressor(bootstrap=True, criterion='mse',
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Please HELP....thanks a lot!
I would like to install EconML by locally compiling mode
envs:
OS: windows10
python:3.11
steps:
1) git clone from github by : git clone git@github.com:py-why…
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I found that on occasion, stability selection will trigger CUDA error like below:
self.criterion(model(X_val), y_val).item()
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel err…
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As of Criterion 1.0, [it uses a linear regression methodology](http://www.serpentine.com/blog/2014/08/08/criterion-1-0/) to generate an estimate of the expected marginal cost of running a benchmark ju…
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It seems that `PerceptualLoss` has issues when used with `data_parallel`:
```python
samplerate = SR22050()
scale = BarkScale(FrequencyBand(50, samplerate.nyquist - 300), n_bands=512)
perce_crite…
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## 🐛 Bug
If one uses the [`FrechetInceptionDistance`](https://torchmetrics.readthedocs.io/en/stable/image/frechet_inception_distance.html) in the `training_step` of a [`LightningModule`](https://li…
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The value counts (#) for a criterion should display the number of items that satisfy the values selected in all other criteria. I.e, the value counts for a criterion should reflect the filtering of a…
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Hi everyone,
I'm running triage over **[Red Hat 11.3.1-4]** on Linux, Python 3.10.6, and using the v8 triage version. My database is in **PostgreSQL 15.7** on x86_64-pc-linux-gnu, compiled by GCC (…
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`bs` is not defined and should probably be `batch_size`
```python
def train(model, input_data, target_data, batch_size=500, iterations=5):
criterion = MSELoss()
optim = SGD(paramet…
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I'd like to be able to parametrize benchmarks by input size, pass criterion a size range, and have criterion run tests for it.
Ideally, I'd like to configure the step size:
- linear: [0, 10) wit…