ALiPy
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NUAA-AL
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
I wrote my bachelor thesis about Active Learning Query Strategies. As a part of the thesis I implemented the two strategies [BatchBALD](https://arxiv.org/abs/1906.08158v1) and [LAL-RL](https://arxiv.org/abs/1810.04114) for ALiPy. To verify the correctness...
Hello, how can I use its regression task？ When I give the toolbox a regressive label, it always produces the following errors ValueError: Unknown label type: (array([339.731, 340.059, 340.404, ...,...
after I adopted the query strategy QueryinstanceBMDR,the problem raised that(ImportError: This method need cvxpy to solve the QP problem.Please refer to https://www.cvxpy.org/install/index.html install cvxpy manually before using.) so I tried...
Hi, I already run a few experiments for different text classification datasets with class imbalance and in many cases, Random sampling of indexes usually performs better than most (sometimes all)...
Hi, I am running experiments for multi-class classification and get the following error for EpectedErrorReduction: File "/home/julia/master_thesis/env/lib/python3.6/site-packages/alipy/query_strategy/query_labels.py", line 829, in select score.append(pv[i, yi] * self.log_loss(prob)) IndexError: index 4 is out...
Thanks so much for the awesome library! I was trying to run the "query_instance.py", the only changes I made to the code are: i) Increased the num_of_queries from 50 to...
In the website tutorial at http://parnec.nuaa.edu.cn/huangsj/alipy/10_mins_to_alipy.html there is no initial fit of the model and so I get an error when running the line: ``` select_ind = uncertainStrategy.select(label_ind, unlab_ind, model=model,...
I want to use the promising alipy library to perform active learning on a timeseries classifier model built with keras and tensorflow. The model is a LSTM, which leads to...
