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Boosted neural network for tabular data

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The code seems to be using some dependency which are no longer valid. do you have any plans to update it ? Such as torch version 1.9.0

Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.62.2 to 4.66.3. Release notes Sourced from tqdm's releases. tqdm v4.66.3 stable cli: eval safety (fixes CVE-2024-34062, GHSA-g7vv-2v7x-gj9p) tqdm v4.66.2 stable pandas: add DataFrame.progress_map (#1549) notebook: fix...

dependencies

Hey nice work. I tried to run the code can you please tell me what should be the input the model is asking before training. I tried to give some...

Hello, I am trying to recreate your results for the Iris dataset. I have installed XBNET and all the required libraries. I am following the example code provided in the...

help wanted

Have you tested XBNETRegressor? I made a code using XBNETRegressor but I get a RunTimeError. ``` import torch import numpy as np import pandas as pd from sklearn.preprocessing import LabelEncoder...

I just think that is little weird to introduce manually (or interactively) the number of layers and other hyperparameters.

I just use your README code and it doest have process The train bar is always 0 ![image](https://user-images.githubusercontent.com/86989360/222373062-9f5b0c13-d9b9-4582-8034-a9b15d6c1700.png)

While in the code implemented, the minimum value of the gradient is taken into account, and subsequently, the gradient of the layer is updated with the feature importance. ![image](https://user-images.githubusercontent.com/17232975/184918728-d3cb3265-9e4f-4f96-9d6a-d3eaa7949dcf.png) However,...

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/ Collecting git+https://github.com/tusharsarkar3/XBNet.git Cloning https://github.com/tusharsarkar3/XBNet.git to /tmp/pip-req-build-pmimf9mo Running command git clone -q https://github.com/tusharsarkar3/XBNet.git /tmp/pip-req-build-pmimf9mo Requirement already satisfied: sklearn==0.0 in /usr/local/lib/python3.7/dist-packages (from XBNet==1.4.6) (0.0) ERROR: Could not...

Hi there Wonderful idea that you have implemented. I was wondering if it would be possible to perform K-Fold cross validation? Thanks

enhancement