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_Possible follow-up to #327._
Hey Vincent,
Stata's `margins` command has an interesting `vce(unconditional)` option. The essential idea is to account for sampling variation when calculating stan…
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In many cases when working with linear models, one has a model like `y ~ 1 + a + b:c` and you want to test a hypothesis like "`y` at `a = a1` is significantly different from `y` at `a = a2` (with the …
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The current implementation of `rulefit` can sometimes produce redundant features that are then fed into the lasso. This comes from the stochastic nature of random trees and lack of rule pruning.
To…
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Hello,
I would like to request a new parameter to a trained model which will strip all data before saving model for prediction purposes.
Similarly to statmodels's remove_data(), e.g.
https://w…
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import streamlit as st
import pandas as pd
import numpy as np
import pennylane as qml
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
fro…
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**Just A Discussion Board**
show some ideas about charts
e.g.
1) a pie chart for regional sales
2) a linear graph for the prediction of game future sales
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Hi, thank you for sharing your trained model. But when I use the trained model of BiSARGCN-icews14-complex, there would raise an error. It seems like model parameters in the code are not match with …
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Try using things like Neural Networks or Linear Models to calculate the stock well being prediction. Need to update it from the basic calculation it is making now.
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Hi
In the page 14 of the paper,
> For evidence extraction we apply 2 layer feedforward networks on top of the representations corresponding to sentence and paragraph tokens to get the correspondi…
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# 🐛 Bug
Fantasization / conditioning model on new data points renders the model unexportable to TorchScript/not traceable with JIT. Models cannot be JIT traced/exported to Torchscript once `get_fan…