modAL
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modAL-python
A modular active learning framework for Python
Hi, I have a few questions: 1. When performing initial training via `ActiveLearner(estimator=keras_classifier, X_training=X_train, y_training=y_train)` does X_training, y_training support generators? 2. Working with HD images, I need to save huge...
Hey, I'm a beginner to active learning and I'm just trying to implement modal along with a standard PyTorch softmax classifier using the skorch api as instructed in your documentation....
I am trying to make a similar plot to the one in the README.md (the first image with the class probabilities). Can you provide me with the code please? I...
Hello, when I use SVR for regression task, it will prompt: 'SVR' object has no attribute 'predict_proba' I think it should be that there is no query_strategy. So how can...
Lately, a lot of active learning methods have been developed for deep neural networks. Some of these state of the art methods are considered as a standard benchmark when comparing...
i need some help on combing modal and mlflow , basically, I want to store each time I teach the model and store it as an mlflow run . Anyone...
Hi, the documented return of query strategies seems inconsistent with the current implementation. For example, the actual return of SVM_binary_minimum is the query index. https://github.com/modAL-python/modAL/blob/99d4947f69f0b2247f9916a6ef44463f7af06c55/modAL/multilabel.py#L45-L46 But in the code comment...
Hi, I'm new to modAL and machine learning. This might be a dumb question but I didn't figure it out after I read through docs and reproduced some of the...
Hi, In this code I get the error. Where the X_pool shape is (1024, 8). query_idx, query_instances = learner.query(X_pool, n_instances=5) Please let me know what is wrong here. I used...
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A modular active learning framework for Python