Current Version Details

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6.2.1 Released on 6/19/2024

6.2.1b Released on 10/11/2024

 

Data Manager

  • When deleting a dataset, it will now warn you if that dataset is involved in anything else (such as it is part of another dataset definition, as an insight based on it, a model, etc).
  • Improved handling for automated data dictionaries for variables whose role is "City", and for very large integers over 19 significant digits.
  • 6.2.1b - Creating new fields in a derived dataset now includes options to sort and search your new fields, as well as export and import code from csv files managed externally.

 

Insight

  • Charts now support the ability to add annotations.

 

Predict

  • There is now an ability to add notes for each version of a model that you execute, and view those notes as you compare performance of versions.
  • In Model Explorer, you can set the y-axis limits to stay in place consistently as you change model versions or update values to simulate.

 

6.2.0 Released on 3/13/2024

 

General

  • LityxIQ now features a robust search functionality, allowing you to search all of your objects (datasets, insights, models, optimization scenarios) based on keywords, and easily click through to it.  See https://support.lityxiq.com/363079-Searching-for-Objects for more details.
  • Logging out of LityxIQ is now done with a single click icon at the top of the interface.
  • The Console now allows the ability to click on objects referenced in the console queue area.
  • Data Connections now include Databricks and updated connections for Google drivers such as Campaign Manager, as well as new security update for SQL Server connections.

 

Data Manager

  • Browsing a dataset now includes improved functionality to identify which variables are being sorted on in the case of a multi-sort.
  • Improved handling for automated data dictionaries for variables whose role is "City", and for very large integers over 19 significant digits.

 

Shared Insights

  • Shared Insights is now supported for a wide range of outputs in Predict, including all model performance statistics, Engagement analysis, and more.

 

Optimize

  • Ability to define fixed cost metrics and decision variables including fixed costs.  See https://support.lityxiq.com/414618-Fixed-Cost-Metric for more information.
  • Improvements and efficiencies to the optimization model formulation and solver processing, including for Enhanced-by-Gurobi users.

 

 

6.1.0 Released on 10/23/2023

 

Insight

  • Dynamic Filtering is now available for charts, tables, and reports.  See here for more information.
  • Improvements to defining charts and axes.

 

Predict

 

6.0.2 Released on 8/7/2023

  • Much faster previews available for large Excel sheets.
  • A variety of additional efficiency improvements and fixes.

 

6.0.1 Released on 6/5/2023

 

Data Manager / Insight

  • Quick Insights created within the Data Manager can now easily be turned into an Insight saved in the Insight area.  When creating a Quick Insight, just click the Save As Insight button to do this.
  • Text files generated on MACs (which have different line endings from files created on other systems) will now be automatically identified and correctly imported even if the “MAC File” option wasn’t checked.
  • When copying a dataset, if it has an Automated Insights setup, you will be given the option to save those AI settings with the copied version of the dataset.

 

 

6.0.0 Released on 4/25/2023

See the LityxIQ 6.0 announcement press release: https://www.prnewswire.com/news-releases/announcing-lityxiq-6-0--powering-predictive-business-decisions-through-next-gen-machine-learning-301806824.html
 

Predict

  • ML model settings now allow for easily duplicating and labeling modeling iterations.
  • Model Monitoring Dashboards can be created to automatically track in-market model performance, including predictor variable drift and model degradation.
  • Enhanced performance analysis to compare many model and versions at once, track overfitting, compare variable importance, and ROC charts.
  • New Engagement Analysis model evaluation tool, and enhanced Threshold Analysis with error cost analysis.
  • New ability to export detailed data created during the modeling process.
  • Ability to automatically put the best model iteration into production for use in scoring jobs.
  • Improved coordination of multiple scores being placed into the same scoring catalog.

 

Data Manager

  • Automated Insights settings allow for dataset filtering.

 

Shared Insights

  • LityxIQ Shared Insights have been expanded and updated, allowing more flexibility for sharing and managing linked insights that can be made available to non-LityxIQ users.

 

General

  • Fresh user interface, with main site navigation in a collapsible left panel.

 

5.3.3 Released on 1/16/2023

 

Data Manager

General

  • Full projects can now be copied.  The copy process can include a full copy of all the data, or be copied without data (just a template of all dataset, insights, and model definitions).  Further documentation can be found at https://support.lityxiq.com/237590-Projects.

 

5.3.2 Released on 12/12/2022

 

Automated Insights

  • Improvements to titles and formatting in the multivariate segmentation.

Data Manager

  • Changing the name of variables in raw dataset dictionary will not require re-importing the dataset.

General

  • Improvement to date-based scheduling handling when errors occurred in the job.
  • Improvement to functionality of user and user-group selection functionality.

 

5.3.1 Released on 11/7/2022

 

General

  • The view of multivariate segmentation trees in Automated Insights and decision trees in Predict can now be customized and export to PDF (in addition to PNG and JPG).

Data Manager

  • In a derived dataset, Incoming and Join datasets have an option to be inactivated for processing.  This is a way to temporarily turn off or pause a dataset from being processed.

 

 

5.3.0 Released on 10/17/2022

 

General

Data Manager

  • When setting up a new raw dataset, a new option allows users to automatically remove all trailing spaces from strings while importing data from any source.

Insight

  • Pivot insights provide a more clear understanding of dimensions for which filters have been set, and what the combination of filters is.

Predict

  • Regression algorithms now provides separate options to search for interaction terms and to identify higher order polynomial terms.  The highest polynomial degree for which to search can also be set.

 

5.2.2 Released on 8/26/2022

 

Data Manager

 

 

5.2.1 Released on 8/12/2022

 

Data Manager

 

 

5.2.0 Released on 8/1/2022

 

Predict

  • The K-Means algorithm is now available in beta to support unsupervised clustering or customer segmentation models.
  • The Prophet time series algorithm is now available in beta as another option for building forecasting models.
  • Scoring catalogs can now be assigned into any dataset library when created.

Data Manager

General

  • Administrators will have access to a new System Usage Report which will show how much database volume has been used by the server, and help track the largest datasets.
  • Improvements to date-based scheduling processing.

 

5.1.4 Released on 6/6/2022

 

Beta Release of Model Explorer

  • The Model Explorer beta has additional improvements and enhancements.

Data Manager

  • File exports – option to Always Quote all Fields has been added.  This can help normalize exports with strange characters in some fields (quotes, carriage returns, etc), but is only necessary if you find you are having trouble importing the export file into another tool.
  • Datasets can now be exported to Amazon Redshift.
  • When importing data, a new “role” that can be assigned to a field is “PII”, and LityxIQ will automatically detect fields with PII.
  • When importing from a zip file, you can now view the files that are embedded within the zip prior to importing.
  • Manual datasets are a new kind of dataset that you can create.  They are hand-entered datasets, mainly used to enter small datasets manually, or by cutting/pasting data from Excel spreadsheets.  See https://support.lityxiq.com/179215-Edit-a-Manual-Dataset for more information.

Predict

  • Improved decision tree graphic in the Predict area and can be zoomed in/out.

 

5.1.3 Released on 4/4/2022

 

Beta Release of Model Explorer

The Model Explorer allows you to dig deeply into the inter-relationships of variables in the model, and their combined effects on model predictions.  This opens up greater model interpretability for even the most complex machine learning algorithms like XGBoost and DeepNets.  See more documentation on the Analyzer here.

General

  • Users will be informed when a new version has been made available.  Just need to refresh the browser using CTRL-SHIFT-R
  • Analytic jobs can be canceled in the Queue tab of the console prior to their starting execution, and model runs, scoring jobs, and optimization implementation jobs can also be canceled after they start.
  • Right clicking an object in the main grid lists (such as lists of dataset or models) now provides one-click access to that object's menu.
  • Small UI fixes and enhancements.

Data Manager

  • String fields will be treated differently in dataset dictionaries.  The maximum allowed string length is now 65,000 characters, and the length setting in a dataset dictionary will have five options:
    • Extra Small (length 1)
    • Small (up to 10 characters)
    • Medium (up to 100 characters)
    • Large (up to 1000 characters)
    • Max (up to 65000 characters)
  • Additional functionality when creating New Fields in a Derived Dataset:
    • You can copy and paste new fields code within the dataset or from one dataset to another.
    • The editing window can be sized as needed to show more code, and also has a checkbox to turn off code wrapping for cases where it is helpful to see everything stretched out on a single line.
  • When filtering you can now "Check All" to select only those items selected by the filter.
  • The drop variables list in the Finalize area now lets you sort the list alphabetically.
  • The Multivariable Segmentation in Automated Insights can now be exported.

 

5.1.2 Released on 8/2/2021

 

General

  • Login Screen and Welcome Splash updated.
  • The table listings in Data Manager (datasets), Insight (charts etc.), Predict (models) and Optimize (scenarios) now use the full real-estate of the screen and any change to the bottom right corner 'Show rows' option (25,50,100 etc.) will be remembered.

Data Manager

  • Browse Data can now simultaneously sort multiple columns.
  • Browse Data Actions now provide the choice of columns to show, the order to show them and will retain the users settings over time.

Insight

  • Additional Pivot settings are now saved including 'Analysis Style', 'Aggregation Type', 'Metrics' along with 'Column', 'Row' and 'Unused Dimensions' for the Analysis Style options of Table, Table Bar Chart, Heatmap, Row Heatmap and Col Heatmap.

Predict

  • Improved error capturing when importing data.

 

5.1.1 Released on 5/7/2021

Data Manager

  • The aggregation step now allows you to pivot data from rows into columns, including summarizing on the pivoted data.  This is useful when you want to aggregate your data at a certain level and have a field in your data with multiple values that you would like to turn each value into a new field.
  • See LityxIQ Support Site ‘Defining a Pivot within the Aggregation Step’ for more detailed information on how to utilize this new functionality.
  • To see this new functionality in action, please view our video demonstration

5.1.0 Released on 1/24/2021

Data Manager

Predict

  • DeepNet algorithm is now fully released
  • Jobs will process batches of records in parallel if allowed by the LityxIQ instance setup.
  • New option to select the version/iteration of the model to use for the scoring job.  Models in production will still always use the official production version.  Note that this means that a model not in production can have multiple scoring jobs each using a different version/iteration.
  • New option (on the Advanced tab) to allow a scoring job with no records passed in to process without error.  Currently, if no records are in the dataset to be scored, the scoring job throws an error.  That will continue to be the default operation, but the user can now specify that it is ok for there to be zero records.

Optimize

  • LityxIQ now includes a Gurobi-enhanced upgrade, allowing for solving of Optimization problems using a Gurobi solver.
  • Updates and improvements to the user-interface, including detailed user-oriented explanation of constraint definitions.

5.0.4 Released on 9/27/2020

Data Manager

  • Additional catching and attempted fixing of import errors, and provision of detailed information on the data line causing any import errors.
  • Variable names can now contain up to 128 characters (from 100).
  • Imported datasets provided with more than 128 characters in a variable name will be automatically reduced to the first 128 characters to become legal.

Predict

  • DeepNet neural net algorithm is now available to all users in Beta testing. Please provide feedback on your use of the algorithm in your machine learning models.

5.0.3 Released on 8/31/2020

Predict

5.0.2 Released on 8/6/2020

Data Manager

  • Addition of powerful fuzzy matching functions (in addition to existing regular expression pattern matching functions) to Data Manager.  

Predict

Please do a SHIFT-CTRL-R refresh in your browser to take advantage of the ROC curve analysis functionality.

5.0.1 Released on 5/27/2020

Data Manager

  • Automated Insights are now available.  For any dataset in LityxIQ, simply select up to five variables for which to generate automated insights each time the data is refreshed.  Automated Insights include a ranking of which other variables are important predictors of the target, and provide an easy-to-understand multivariate segmentation for each of the selected targets.
  • The export dataset option allows the selection of an escape character for use in the export file.

5.0 Released on 4/1/2020

Data Manager

  • Dataset metadata is now computed in parallel to dataset execution being finalized.  This provides much-improved execution times for certain large datasets.
  • Database schedules now allow for hourly jobs
  • Google BigQuery and Amazon DynamoDB are now available as data sources.  See Data Connections

Predict

  • Variable importance scores and other pre-processing information about machine learning model runs is now available for all algorithms

 

 

 

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