redditflow VS caer

I once worked with a researcher who was struggling with some python code, and she was trying to scrape data and have ML models trained on the data. After seeing her struggle, I decided to build an organization where I can do everything end to end data collection to model training. As part of the mission, I am releasing redditflow, the first product to solve our mission. With only the help of two lines of python code, Redditflow uses the Reddit API to scrape any image or text data from any timeline from past to future, and AI algorithms will filter the scraped data, and finally, train an ML model as output! Github: https://github.com/nfflow/redditflow Please raise an issue, join discord at https://discord.gg/8u362Yc3 or mail me at [[email protected]](mailto:[email protected]) if you would like to contribute! I will be excited to talk with you!

Github: https://github.com/nfflow/redditflow

P.S : I have attempted to solve this via the reddit API in :https://github.com/nfflow/redditflow.

Well, there's a lot we can do for the community through open source. We welcome all contributions which will help us move forward a step in helping making the data science process simpler. Check out https://github.com/nfflow/redditflow

I think it may have. If you look at line 10 of https://github.com/jasmcaus/caer/blob/master/configs.ini, you’ll see that caer has numpy and opencv-contrib-python dependencies that get referenced in its setup.py. If I recall correctly, pip on the nano doesn’t pick up the default numpy and opencv-python system installs, so when you go to install something like caer that has them as dependencies, it will install new copies except the wheel files that it grabs are incompatible. The solution I have found to work is to run something similar to the command above: “pip3 install —no-binary caer —no-binary numpy—no-binary opencv-contrib-python —no-binary typing-extensions —no-binary mypy —force-reinstall caer”. Some of those —no-binary options may not be necessary but they’ll at least ensure pip grabs the source for each of the dependencies and rebuilds it locally rather than using an imcompatible version. This command will take awhile! But you only should have to do it once.