Releases: mostly-ai/mostlyai-qa
Releases · mostly-ai/mostlyai-qa
1.9.9
08 Oct 16:42
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What's Changed
📦 Uncategorized
bump minor version of torch and torchvision in readme #213
release 1.9.9 #215
Full Changelog : 1.9.8...1.9.9
1.9.8
26 Jun 16:35
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📦 Uncategorized
auto-generate llms.txt #209
limit scipy to pre 1.16 #210
release 1.9.8 #211
Full Changelog : 1.9.7...1.9.8
1.9.7
03 Jun 12:20
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📦 Uncategorized
sort imports #206
refine presentation of NNDR Ratio #207
release 1.9.7 #208
Full Changelog : 1.9.6...1.9.7
1.9.6
22 May 12:50
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🚀 Features
warn if more than 50k embeddings are calculated #202
improve reproducibility interface #203
📦 Uncategorized
bump min jinja version due to CVSS #204
release 1.9.6 #205
Full Changelog : 1.9.5...1.9.6
1.9.5
16 May 08:45
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follow-up to reproducibility PR #199
remove outdated plotly file #200
Full Changelog : 1.9.4...1.9.5
1.9.4
14 May 11:25
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🚀 Features
added optional random_state for reproducibility #197
🐛 Fixes
gracefully handle issues with Spectral Clustering #196
Full Changelog : 1.9.3...1.9.4
1.9.3
13 May 00:49
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📦 Uncategorized
drop FAISS again, as it proved slower for lower dim datasets
cap embedding-related compute (AUC, Contours, SeqLen, Subsets)
handle edge case where trn_tgt_data without columns is provided
Full Changelog : 1.9.2...1.9.3
1.9.2
12 May 18:18
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🐛 Fixes
handle edge case of DCR share being 0 #191
📦 Uncategorized
dedicated data pull for embeddings to fetch all events for sequential data #192
release 1.9.2 #193
Full Changelog : 1.9.1...1.9.2
1.9.1
11 May 21:13
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🐛 Fixes
handle edge case of DCR share being 0 #189
📦 Uncategorized
Full Changelog : 1.9.0...1.9.1
1.9.0
11 May 20:52
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What's Changed
fix: ensure n_jobs > 0 in #171
chore: use FAISS for faster knn in #174
fix: do not use FAISS on non-Linux due to segfaults in #181
docs: harmonize pkg usage in #176
feat: add trivariate accuracy metric in #179
feat: switch to custom encoding space for distance metrics in #185
feat: use encoded data consistently for similarity & distances in #187
Full Changelog : 1.7.0...1.9.0