feat: custom cluster removal #117
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sferez
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* feat: added dynamic visualisation on the map based on lat and long * excluded uploaded files from commit * added interative visualisation of metrics * feat: added clustering algorithms * chore: refactored visualisation location * chore: removed .DS_Store * chore: removed rail.py * feat: added spectral clustering * . * feat: added more clustering algorithms * spectral, * kmeans, * agglomerative * chore: code cleanup * Update app.cpython-311.pyc * latest codebase added more clustering * update 1) All clusters added (complted sprint 3) 2) moved general metrics to seperate page * Fix 0 margin on all gaphs * Fix map layout when not spatial * fix / * raise error if 'map' and not spatial * . * rm .github * rm pycache * update 1) Storing an netoworkObject into session 2) Tested all cluster Found 3 errors. Raised on github 3) General metrics to other page Done under uploaded_dataset route. But not added frontend menu to route there. 4) Visualisation Tab Tabs: network, Temporal temporal is not showing is graph is spatial, only dynamic toggle and layout dropdown is kept * add return nan in visualisation * add .github * add .github * return 'no_graph.html' * rm __pycache__ * update Added all_metrics template. Removed dynamic toggle from all_metrics * update if n/w graph is spatial then layout=map else sfdp added for all_metrics * Delete app.cpython-311.pyc * update -single metrics template added -keeping multi and directed toggle on -removed dynamic from boxplot,violin,histogram -toggle layout based on networkkGraph type * fix: k-clique clustering bug * update removed multi and directed toggle for clustering * update New field added in cluster, i.e Number of cluster, by default value None * update applied working method to every cluster * update Hotspot changes, remvoed coldspot, kept only iframe and data * update feat: added forms in resilience analysis (random, malicious, cluster). working input from user. * update fix: removed girvan_newman & edge_betweenness cluster * networkGRaphs cache * change compute global metrics * add temporal graphs * rm fig.show * update fixed networkGraph object. and moved dataset on homepage and created seperate page for global metrics * Update 2029240f6d1128be89ddc32729463129 * update feat: global metrics * removed flask session * update * fix: basic visualisation * feat: add clean df for frontend * fix: returned no graph instead of errors * fix: path for dynamic graphs * update found error of dynamic visualisation, in malicious resilience changed type of attach as metrics names, * update fix bugs * fix: set/get key name * Update app.py * feat: removed no graph from ml communities * fix: import * fix: index 0 frontend bug * fix: temporal no graph is not temporal * minor chagnes * fix: error with index 0 * fix: error with index 0 * update 1) if graph is spatial change layout for cluster 2) Removed hirerachical 3) Removed Edge all 4) Tooltips added 5) Accordian Added for resilience cluster * change added tooltips for visualisation page * fix: Assertion Error when using Dynamic for MTX/CUSTOM * fix: use cache even when arg not in same order * feat: template resilience analysis * feat: added custom cluster size to a few clustering algorithms (#102) * feat: added custom cluster size to a few clustering algorithms * feat: added custom cluster size to a few clustering algorithms * fix: index 0 error * fix: argument passing * feat: add custom title for clustering * feat: add custom title for clustering * feat: resilience * feat: Kmeans * update 1) working accordian 2) tabs from 5.2 added * feat: resilience analysis * feat: minor changes 1) added spinner after using app with sample datasets 2) added tooltips on sample dataset card to understand which dataset it is * feat: clustering * fix: 105 valueerror n samples=5 should be = n clusters=6 agglomerative clustering custom ff (#107) * feat: production deployment for sprint 3 (#75) * . * Update app.cpython-311.pyc * latest codebase added more clustering * update 1) All clusters added (complted sprint 3) 2) moved general metrics to seperate page * Fix 0 margin on all gaphs * Fix map layout when not spatial * fix / * raise error if 'map' and not spatial * . * rm .github * rm pycache * update 1) Storing an netoworkObject into session 2) Tested all cluster Found 3 errors. Raised on github 3) General metrics to other page Done under uploaded_dataset route. But not added frontend menu to route there. 4) Visualisation Tab Tabs: network, Temporal temporal is not showing is graph is spatial, only dynamic toggle and layout dropdown is kept * add return nan in visualisation * add .github * add .github * return 'no_graph.html' * rm __pycache__ * update Added all_metrics template. Removed dynamic toggle from all_metrics * update if n/w graph is spatial then layout=map else sfdp added for all_metrics * Delete app.cpython-311.pyc * update -single metrics template added -keeping multi and directed toggle on -removed dynamic from boxplot,violin,histogram -toggle layout based on networkkGraph type * fix: k-clique clustering bug * update removed multi and directed toggle for clustering * update New field added in cluster, i.e Number of cluster, by default value None * update applied working method to every cluster * update Hotspot changes, remvoed coldspot, kept only iframe and data * update feat: added forms in resilience analysis (random, malicious, cluster). working input from user. * update fix: removed girvan_newman & edge_betweenness cluster * networkGRaphs cache * change compute global metrics * add temporal graphs * rm fig.show * update fixed networkGraph object. and moved dataset on homepage and created seperate page for global metrics * Update 2029240f6d1128be89ddc32729463129 * update feat: global metrics * removed flask session * update --------- Co-authored-by: sferez <simeon.ferez@gmail.com> Co-authored-by: Tejas Patil <tejas.coder@gmail.com> * fix: valueerror: n_samples=5 should be >= n_clusters=6. --------- Co-authored-by: sferez <simeon.ferez@gmail.com> Co-authored-by: Tejas Patil <tejas.coder@gmail.com> * feat: clustering * fix: clustering * fix: clustering * feat: malicious resilience analysis * feat: malicious resilience analysis * fix: refactor return_nan and clean_df in utils.py * feat: template report generation * feat: cluster resilience analysis (#111) * feat: added custom cluster size to a few clustering algorithms * feat: added custom cluster size to a few clustering algorithms * feat: added custom cluster size to a few clustering algorithms * feat: cluster resilience analysis * feat: cluster resilience analysis * chore: clean up code * before change update all tabs are replaced with bootstrap 5.2 * fix: bugs, feat: description, tooltip (#79) * update found error of dynamic visualisation, in malicious resilience changed type of attach as metrics names, * update fix bugs * fix: set/get key name * Update app.py * minor chagnes * update 1) if graph is spatial change layout for cluster 2) Removed hirerachical 3) Removed Edge all 4) Tooltips added 5) Accordian Added for resilience cluster * change added tooltips for visualisation page * update 1) working accordian 2) tabs from 5.2 added * feat: minor changes 1) added spinner after using app with sample datasets 2) added tooltips on sample dataset card to understand which dataset it is * before change update all tabs are replaced with bootstrap 5.2 * fix: cluster security * fix: cluster security (#112) * changed degree centrality only * feat: deep learning * update made common single_metrics function to render template * Revert "update" This reverts commit b306a60. * Revert "Revert "update"" This reverts commit 0c05b7f. * working directories * updates * error resilience random * feat: custom resilience * feat: custom cluster removal (#117) * feat: added custom cluster size to a few clustering algorithms * feat: added custom cluster size to a few clustering algorithms * feat: added custom cluster size to a few clustering algorithms * feat: cluster resilience analysis * feat: cluster resilience analysis * chore: clean up code * fix: fixed utils import bug * feat: added custom cluster removal * feat: added custom cluster removal * feat: added custom cluster removal * feat: added custom cluster removal * update made custom response for random resilience input form visualization tab working * update working 1) Random Resilience Analysis -- Nodes ---- Visualisation ---- Centrality ------ Degree Centrality * feat: reduce x10 html files size * feat: resilience random (#115) * update found error of dynamic visualisation, in malicious resilience changed type of attach as metrics names, * update fix bugs * fix: set/get key name * Update app.py * minor chagnes * update 1) if graph is spatial change layout for cluster 2) Removed hirerachical 3) Removed Edge all 4) Tooltips added 5) Accordian Added for resilience cluster * change added tooltips for visualisation page * update 1) working accordian 2) tabs from 5.2 added * feat: minor changes 1) added spinner after using app with sample datasets 2) added tooltips on sample dataset card to understand which dataset it is * before change update all tabs are replaced with bootstrap 5.2 * changed degree centrality only * update made common single_metrics function to render template * Revert "update" This reverts commit b306a60. * Revert "Revert "update"" This reverts commit 0c05b7f. * working directories * error resilience random * update made custom response for random resilience input form visualization tab working * update working 1) Random Resilience Analysis -- Nodes ---- Visualisation ---- Centrality ------ Degree Centrality --------- Co-authored-by: sferez <simeon.ferez@gmail.com> * feat: dynamic scale size visualisation * feat: resilience return df of changed * feat: resilience return df of changed * update Resilience Random Node centrality working * update kcore node working * fix: longest iterations issue * feat: resilience example documentation * docs: Formatting and documentation * update resilience random, nodes working * fix: rm std from frontend visualisation * feat: memoize expensive computing functions * update working resilience random * fix: Kmeans clustering * fix: Kmeans clustering * Update resilience_routes.py working both nodes and edges tabs, remembering it was node tab or edge tab. * update converted html into template * fix: Kclique clustering * feat: resilience malicious integration working resilience malicious * feat: JS SCripts, copy node when clic * feat: JS SCripts, copy node when clic * feat: Custom dataset, BTC transactions * fix: error write_html for dynamic * feat: copy to clipboard node id * Revert "Merge branch 'dev' of https://github.com/airscholar/AlphaTeam into tejas" This reverts commit 50513b4, reversing changes made to 8c67df5. * Revert "feat: resilience malicious integration" This reverts commit 8c67df5. * Revert "Revert "feat: resilience malicious integration"" This reverts commit 4bc80c3. * feat: working resilience all resilience working 1 issue raised for cluster list issue * update operator bug fixed * feat: Backend elevation to dev (#189) --------- Co-authored-by: sferez <simeon.ferez@gmail.com> Co-authored-by: Tejas Patil <tejas.coder@gmail.com> Co-authored-by: Tejas Patil <65388565+tejas2292@users.noreply.github.com> Co-authored-by: Simeon <91850099+sferez@users.noreply.github.com>
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