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Add a warning when using matrix instead of array

1

I just spent a few hours debugging this. I tried to play with this using a tfidf vectorizer which returns a sparse matrix. That didn't work with cryptic errors. I...

talolard

Add a Data Manager Class

1

Hey is this something you'd like to add to the library ? ## Rationale Bookeeping which examples have been labeled is no fun and error prone and verbose. I propose...

talolard

How to use the committee's vote entropy and consensus entripy

2

hey,I'm here to thank you what a great modAL you offered to us,but I'd like to use the vote entropy and consensus entropy to improve the prediction.Since I'm a rookie...

wxl112

Adding uncertainty calculation with a score threshold

2

Hi modAL team, I have been using the **classifier_uncertainty** function in the uncertainty module: ```python def classifier_uncertainty(classifier: BaseEstimator, X: modALinput, **predict_proba_kwargs) -> np.ndarray: """ Classification uncertainty of the classifier for...

zeetaros

How can I initial an ActiveLearner with 3-D shape data?

5

``` from modAL.models import ActiveLearner learner = ActiveLearner( estimator=classifier, X_training=X_initial, y_training=y_initial, verbose=1 ) ``` Here I am trying to do the Named-Entity Recognition task, so the shape of y_initial is...

rz-zhang

3D CNN problem

1

I want to know if modAL supports 3DCNN?

8hsyw

Active learner in Dash

3

Hi, I would like to use modAl in Dash. The problem is, global variables will break the Dash app. That's why they invented the Dash Store component. In the first...

sarahdc1998

missing 'inputs' positional argument with ActiveLearner function

3

All of my relevant code: ```python #!/usr/bin/env python3.5 from data_generator import data_generator as dg # standard imports from keras.models import load_model from keras.utils import to_categorical from keras.wrappers.scikit_learn import KerasClassifier from...

zbrasseaux

Compute pairwise distances only once instead of each turn.

3

This is a proposition of optimization for the ranked batch method. In the ranked batch methods, the distance between all unlabeled samples is computed at each iteration which is computationally...

AlexandreAbraham

can use modAl with keras multi_gpu_model?how should i do?

2

when I use modAl with keras multi_gpu_model,training occurred error like following: > Query no. 1 Traceback (most recent call last): File "/home/es712/Documents/MingHan/pycode/test/ALtest.py", line 77, in query_idx, query_instance = learner.query(X_pool, n_instances=100,...

awalker0215