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Similar to what is described in #5637, LinearSVC `predict` returns a float dtype rather than integer, which breaks compatibility with third-party tools that assume classifier predictions are integers …
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main_cf.py for length of stay is Logistic Regression, not Linear Regression. Also main.py is Linear Regression, not Logistic Regression.
https://github.com/yerevann/mimic3-benchmarks#length-of-stay…
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It would be interesting to have the ability to extend the linear regression plot line beyond the input data to enable forecasting/predictions on linear models.
Ref. https://talk.observablehq.com/t/…
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The help file of investr seems to indicate that weights are ignored when using weighted linear (lm) or nonlinear least squares analysis (nls). Would it be hard to take into account weights, e.g. if on…
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While working on DeprecationWarnings for linear keyword in GLM predict and get_prediction (#8505), I saw this
The first test seems to use hasattr on a non-existing attribute which would skip the te…
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If predictions are 0 (therefore on the linear predictor scale `log(0)=-Inf`), then getting derivatives for use in variance estimation is tricky. Numerically (`grad()`), it falls over.
This seems li…
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I am trying to add a complex dense layer to the deep network
```
def get_deep_convnet(window_size=4096, channels=2, output_size=84):
print"start model"
inputs = Input(shape=(window_size,…
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## Gold Price Prediction
### Project Overview
This project aims to predict the price of gold using various machine learning models. The project includes data exploration, feature engi…
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Hi,
I am new using tensorflow and WIT and I do not even know if Ishould be posting this here but I am trying to replicate the COMPAS demo using TensorFlow Serving on Docker and I get the next error…
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I am trying to do a simple sklearn pipeline with a StandardScaler for the numerical values and a OneHotEncoder for the categorical.
As shown [here](https://onnx.ai/sklearn-onnx/auto_tutorial/plot_e…