modAL
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modAL-python
A modular active learning framework for Python
Apologies for posting here. I've been unable to fix this error after two days and checking with StackOverflow. Hoping you guys will have an idea what I've done wrong? Thanks....
It’s not clear to me what the argument ‘random_tie_break’ exactly does. Could you please add a few lines to the documentation or examples about it?
Hi, I've tried setting up the Ranked Batch Sampling Learner with a full dataset of ~2M samples and a batch size of ~8k samples. The code seemingly gets stuck after...
I am currently writing a Siamese CNN in tf.keras to compare two images and wanted to use modAL for active learning. The Siamese CNN takes two images as input, so...
When the number of unlabelled points is very large it may be beneficial to copy the classifier into a number of threads/processes and query chunks of the data separately, then...
Active learning not only works in pool-based or stream-based setting, it can *generate* examples which can be queried for labels. This is called query synthesis. (See [this paper](https://www.sciencedirect.com/science/article/pii/S0925231214008145) for further...
Hello, I am trying to reproduce code [here](https://modal-python.readthedocs.io/en/latest/content/examples/Pytorch_integration.html). but getting the following error when execute ` query_idx, query_instance = learner.query(X_pool, n_instances=100) ` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) in...
Hello, I was wondering if accounting for situations where the costs of querying different points are not uniform is something we'd like to have, sometimes more broadly referred to as...
When comparing to random sampling it does not seem to give significantly different results. I would have expected the curve to be much higher for active learning. Potentially the defaults...
Hi, I'm hoping to modify the code in pytorch_integration.py to work with images that are bigger than those in MNIST (i.e. bigger than 28x28). However, I keep running into errors...
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A modular active learning framework for Python