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### Describe the workflow you want to enable
I want to be able to use multiple estimators in one pipeline. E.g.
```python
from sklearn.pipeline import Pipeline
from sklearn.linear_model impor…
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Hi there,
I'm hoping you might consider adding regression functions (linear, quadratic, exponential, higher order polynomial) to this package
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The dependent variable is price and the independent (dummy) variable is 'superhost'.
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Thank you for creating the package, it's easy to use and the examples are very useful. I want to perform stepwise linear regression using backward elimination to find the optimal model based on the r-…
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It would be nice to support the [Benchopt](https://github.com/benchopt/benchopt) problem suite, which is also available in Python:
- [ ] Ordinary Least Squares
- [ ] Non-Negative Least Squares
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I needed to have standard deviation for linear regression and there was not function for it. so i coded it and if you like you can edit it and add to next version.
```python
def stdevlinreg(close,…
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Hi,in the linear_regression
why not
for epoch in range(training_epochs):
# for (x, y) in zip(train_X, train_Y):
# sess.run(optimizer, feed_dict={X: x, Y: y})
sess.ru…
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I'm trying to apply your library to a simple instrumentation project where I need to do three-point linear regression.
Before that I'm testing the library with a set of seven points but the returne…
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Need to fix this for https://forums.openmv.io/viewtopic.php?f=6&t=2006&p=12209#p12209