Release notes
Keep up with latest product news
3799 notes
csvgen-uiVersion 2.0.0
Rewrite in Angular 12.
New features:
- Guess columns !
- Custom columns :
apptools-adminVersion 1.1.10
The module for converting query results to a xlsx file based on the python openpyxl library is included
DeepSeeWebVersion 3.1.22
- fixed issue with drilldown MDX generation
DeepSeeWebVersion 3.1.21
- fixed issue with widget sharing (#193)
DeepSeeWebVersion 3.1.20
- fixed issue with pie, bullseye, time, xy, hi/low, bubble charts rendering
DeepSeeWebVersion 3.1.19
- fixed issue with tree chart rendering
fhir-integratedml-exampleVersion 1.0.4
- Introducing query for random sample
- Models performance improvement, by random sampling train and test datasets (thanks @Raj.Singh5479 for this tip)
- No-show prediction: from 81% to 95; with great improvement in recall rate (from 11% to 83%)
- Heart failure death risk: from 89% to 98%
- Documentation update
DeepSeeWebVersion 3.1.18
- increased performance of charts with big data sets
DeepSeeWebVersion 3.1.17
- fixed issue with MultiPolygon in GeoJSON support (polygons with holes)
zapmVersion 1.0.23
Updated escape sequence color scheme
MDX2JSONVersion 2.3.4
ProcessOneAxisCell: populate axis cell info after determining cell visibility
DeepSeeWebVersion 3.1.16
- added "View As" options: "Stacked bar chart", "Stacked column chart" (#179)
- fixed formatting for charts (#185)
- added percentage display for pie chart (#187)
- added annotations display for pie chart (#186)
ESKLPVersion 1.0.2
Added new metric: BarcodeSimilarity
ESKLPVersion 1.0.3
New logo.
Added logistic regression process to compare with linear regression's getting coefficients model.
fhir-integratedml-exampleVersion 1.0.2
- Fix no-show model training method when there is no model previouslly trained
- Error handling in no-show detection service
- Updates on postman collection
- Code clean up
- Doc updates
zapmVersion 1.0.22
Added support zpm+hspm version
appmsw-telestatVersion 1.0.3
Don't ask for parameters if not in terminal mode
fhir-integratedml-exampleVersion 1.0.1
- Model example for no-show detection on appointments, trained on FHIR resources
- DTL transformation for using FHIR resources on IntegratedML
- API for predicting no-show in FHIR resources

