machinelearning

vaex.from_arrays(s=['a,b']).s.str.replace(r'(\w+)',r'--\g<1>==',regex=True)

when using capture group in str, it fails, while str_pandas.replace() is correct

Name: vaex
Version: 4.6.0
Summary: Out-of-Core DataFrames to visualize and explore big tabular datasets
Home-page:

https://github.com/infinitered/nsfwjs/blob/ebcd41c46087a3f42c6577f96acc53d7a934b068/src/index.ts#L68

Hello, it seems, although not explicit I can save the model to different schemas by referencing the underlying "model" attribute in the model returned by nsfwjs.load() e.g.

`nsfwjs.load(path).then(function (newModel) {
console.log("path", path);
if(newModel) {

How to use Watcher / WatcherClient over tcp/ip network?

Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?

Hello everyone,

First of all, I want to take a moment to thank all contributors and people who supported this project in any way ;) you are awesome!

If you like the project and have any interest in contributing/maintaining it, you can contact me here or send me a msg privately:

• Email: nidhalbacc@gmail.com

PS: You need to be familiar with python and machine learning

Describe the bug
How can I load the LearningShapelets model which is already fitted?
When I run the code below, I get this error: NotFittedError: This LearningShapelets instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator.

To Reproduce
A code sample to reproduce the problem:

from joblib import dump, load
from keras.models import load_

Bounds check and call [] operator