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Commits on Nov 29, 2021

• torch data utils added, torch is an optional dependency of the module

  cosmic-cortex

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Commits on Oct 21, 2021

• Remove torch dependency from data.py

  

  Max Keller

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• Organize imports & catch all exceptions in querys

  

  Max Keller

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Commits on Oct 8, 2021

• Fix test & adapt documentation

  

  Max Keller

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Commits on Aug 23, 2021

• Add tests for dropout query strategies

  

  Max Keller

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Commits on Aug 22, 2021

• Add DeepActiveLearner tests & fix ValueError

  

  Max Keller

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Commits on Dec 9, 2020

• FIX #108 - no longer storing transformed training data for on_transformed strategies

  hristov-at-excentos

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Commits on Oct 16, 2020

• #20 - fixed scipy.sparse support in expected_error, fixed issues from code review

  hristov-at-excentos

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Commits on Sep 28, 2020

• #20, #104 - added tests for on_transformed functionality and pandas support; small fixes

  hristov-at-excentos

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Commits on Sep 24, 2020

• resolves #20, #104 - added pandas support and option for transforming data in learner

  hristov-at-excentos

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Commits on Nov 11, 2019

• tests added for force_all_finite mode

  cosmic-cortex

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Commits on Jun 27, 2019

• Bayesian optimization fixed for multidimensional functions

  cosmic-cortex

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Commits on May 10, 2019

• expected_error_reduction fixed for multidimensional data

  cosmic-cortex

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Commits on May 9, 2019

• batch uncertainty sampling fixed for higher dimensional datasets

  cosmic-cortex

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Commits on Mar 15, 2019

• multi_argmax and max_std_sampling test case coverage increased

  cosmic-cortex

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Commits on Jan 27, 2019

• fix: selection.shuffled_argmax and its test case fixed

  zhangyu94

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Commits on Dec 5, 2018

• add: random tie break for expected error reduction

  cosmic-cortex

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• add: random tie break for multilabel classification

  cosmic-cortex

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• add: tests for disagreement sampling functions added

  cosmic-cortex

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Commits on Dec 4, 2018

• add: random tie break implemented for uncertainty sampling methods

  cosmic-cortex

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• add: tests for shuffled_argmax

  cosmic-cortex

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Commits on Nov 28, 2018

• refactor: expected error reduction and log loss reduction merged

  cosmic-cortex

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• add: functions for calculating utility measures directly from classification probabilities

  cosmic-cortex

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• add: test cases now cover subsampling

  cosmic-cortex

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• add: expected log loss reduction

  cosmic-cortex

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• fix: SVC() warnings silenced

  cosmic-cortex

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• add: expected_error_reduction implementation finished, tests added

  cosmic-cortex

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Commits on Nov 26, 2018

• fix: SVM_binary_minimum fixed and tested

  cosmic-cortex

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• fix: some parameters are set explicitly to silence warnings

  cosmic-cortex

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Commits on Nov 5, 2018

• add: tests for multilabel strategies added

  cosmic-cortex

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Commits on Oct 25, 2018

• add: Mean Max Loss and Max Loss multilabel SVM query strategies from Li et al. added

  cosmic-cortex

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• add: _SVM_loss utility function for MeanMaxLoss and MaxLoss multilabel strategies added

  cosmic-cortex

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Commits on Oct 24, 2018

• add: multilabel SVM binary maximum strategy added

  cosmic-cortex

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Commits on Oct 2, 2018

• fix: imports from modAL.models fixed

  cosmic-cortex

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Commits on Sep 18, 2018

• modAL.utils.data.data_vstack now raises exception for unsupported data types

  cosmic-cortex

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