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Ran
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Jobs
2
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Files
94
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Run time
13min
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README BADGES
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travis-ci
<a href="https://github.com/HazyResearch/fonduer/commit/<a class=hub.com/HazyResearch/fonduer/commit/<a class="double-link" href="https://git"><a class=hub.com/HazyResearch/fonduer/commit/5016cd0d15fe62ce2af3808b34968daf9690b046">5016cd0d1<a href="https://github.com/HazyResearch/fonduer/commit/5016cd0d15fe62ce2af3808b34968daf9690b046"><a href="https://github.com/HazyResearch/fonduer/commit/5016cd0d15fe62ce2af3808b34968daf9690b046">&quot;&gt;Use Snorkel v0.9.X instead of snorkel-metal (#320) * Change ABSTAIN to -1 * Use LabelModel from snorkel instead of metal * Consolidate the definitions of labels * Fix test_incremental.py * ABSTAIN as -1 when LF returns None * Revert &quot;Fix test_incremental.py&quot; This reverts commit </a><a class="double-link" href="https://github.com/HazyResearch/fonduer/commit/<a class="double-link" href="https://github.com/HazyResearch/fonduer/commit/b4a736794aed6b1cfe12edba17f1371801a88c54">b4a736794</a>">b4a736794</a><a href="https://github.com/HazyResearch/fonduer/commit/5016cd0d15fe62ce2af3808b34968daf9690b046">. * Fix test_incremental.py * Migrate ABSTAIN,FALSE,TRUE to hardware_utils * Migrate ABSTAIN to labeler * Update CHANGELOG * -1 as ABSTAIN for user-facing labels and 0 for internal computation and database * Label shift for non-integer labels * Revert "Fix test_incremental.py" This reverts commit </a><a class="double-link" href="https://github.com/HazyResearch/fonduer/commit/<a class="double-link" href="https://github.com/HazyResearch/fonduer/commit/9bc8fde55d57e27e43a570d41aecacd8303a2b3f">9bc8fde55</a>">9bc8fde55</a><a href="https://github.com/HazyResearch/fonduer/commit/5016cd0d15fe62ce2af3808b34968daf9690b046">. * isort the imports * Use snorkel>=0.9.2, which uses networkx>=2.2,<2.4 * Fix the way of inversing a label (0->1, 1->0) in a binary case * Improve the comment and CHANGELOG about the label change * Add (un)shift_label_matrix methods * Add tests for label matrix shifter/unshifter * Import ABSTAIN from fonduer.supervision.labeler
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