What's New in DPL 9
New Features in DPL Release 9
DPL Professional Version:
- More Flexible Modeling: Decision Tree or Influence Diagram Focused
Select which modeling mode you prefer: decision tree-focused, influence diagram-focused, or no preference (i.e., split halfway). Build your model entirely in the view you prefer.
- Modeling Ease-of-use Improvements
Multi-select any object in the Influence Diagram or Decision Tree to make multiple changes at once. Manipulate the decision tree via streamlined and more intuitive use of the mouse.
- Graphical Output Improvements
Exercise full control over the marker size in all charts and the percentiles and labels displayed in Risk Profiles.
- New Time Series Percentile Chart
Visualize cash flow over time for all your initial decision alternative to gain a complete picture of how uncertainty evolves over time.
- Selective Attributes:
ot a lot of attributes? With this feature you can slim down your Fat Policy Tree by selecting which attributes are displayed.
- Perform a Subtree and Continue:
Just like it says -- perform a subtree and then continue descending the tree with further events so you can define your decision problem with precision.
- 64-bit Executable
Exploit the scalability of the 64-bit Windows architecture.
- .XLSX Conversion
DPL now does Excel XML: convert an .xlsx/.xlsm spreadsheet to a DPL Program for a huge performance boost.
- Multiple-objective Functions
Who's making that decision? Optimize multiple objective functions simultaneously within a single model to get a handle on the actions of partners and adversaries.
- Parallel Endpoint Recording
Divide and conquer by running a large model on several different machines.
- Allow Event Already Active
Need to model a decision-problem in which it's most convenient to encounter the same event more than once on a path in the tree? (example: sequential oil well drilling decisions) Models these types of problems with ease by enabling the "Allow even already active and halt with penalty value" feature.
- Enhanced API and Improved Database Performance
Expanded functionality for embedding DPL in an automated decision support system and better database connectivity under the covers.
- DPL does BIG Data
Estimate probabilities and discover conditional relationships to predict the target event so you can go from big date mining to making the big decision.
- New Given Success and Subtree Attributes
Calculate key metrics given success and under other conditional scenarios automatically as part of a portfolio run.
- .CSV Definition of Portfolio
When just defining the portfolio is half the fun, manage your list in Excel or another program and import it into DPL with just a few clicks.
- Element Definition Based on SQL query
Dynamic project selection based on projects' characteristics in the portfolio database.