modAL
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modAL-python
A modular active learning framework for Python
Hi, Thanks a lot for this awesome framework for active learning. I am quite new to programming. I wanted to ask if, I have to use my own custom learner...
As the title says. For demonstrative purposes, say I have a committee with 50 learners and 2 data points of class A and B and I want to fit them...
Every sklearn estimator provides the `get_params(deep=True)` and `set_params(params)` methods. These are used e.g. when cloning an estimator. The parameters of an estimator are the arguments of its `__init__` method and,...
Just will start out by saying that this is a great package! I'm fairly new to AL, so apologies if I've go anything wrong here, but my presumption, through looking...
When you teach your Active Learner the queried instance and its label, instead of just adding these new instances to train dataset, it also fits the model with these newly...
I'm trying to use modAL in combination with tslearn to classify timeseries of different lengths. [tslearn supports variable-length time series](https://tslearn.readthedocs.io/en/latest/variablelength.html) by filling the shorter time series up with NAs, but...
Hi,I have a question about the keyward ```only_new``` in ```teach``` method.In the document,it says that to make sure that you train only on newly queried labels, pass ```only_new=True``` to the...
Hi, How do I ensure that the committee has a competing hypothesis? I was checking the models and all the models in the committee have the same hyper-parameters. Where does...
Hi, I was working on a project which would predict multi-column (multi-category) Y, using Query By Committee function. in learner.py The numpy.unique raised a few issues, and it seemed like...
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A modular active learning framework for Python