Investigador HRDS
HRDS Inverse Research
Research Environment
1
Data Collection
First Step - Generate Training Data
Number of Iterations
Human Population Range
Resource Distribution Range
Collection Progress
0/1000 iterations
Elapsed Time
00:00:00
Estimated Time
--:--:--
Average Time/Iter
--:--
2
Model Training
Second Step - Train Neural Network
Training Dataset
No dataset loaded
Drop your dataset here
or click to browse
0
Samples
0.0 - 1.0
Gini Range
0 MB
Size
Neural Architecture
Input
Gini Coefficient
3
Hidden Layers
64
Neurons per layer
Output
Distribution
Training Parameters
Ready to train
100
32
0.001
Training Progress
Epoch 0/100
Time per Epoch
--:--
Remaining Time
--:--:--
Loss
0.000
3
Prediction Engine
Third Step - Generate Distributions
Enter desired Gini coefficient (0-1)
Additional Constraints
to
to
Predicted Distribution
Population Distribution
Rich:
--%
Middle:
--%
Poor:
--%
Resource Distribution
Rich:
--%
Middle:
--%
Poor:
--%
4
Dataset Manager
Fourth Step - Manage Training Data
Dataset Overview
0
Total Samples
0
Unique Configurations
0.000
Average Gini
Never
Last Updated
Import/Export
Maintenance
Dataset Preview
| ID | Gini | Population | Resources | Distribution | Date Added | Actions |
|---|---|---|---|---|---|---|
| No data available | ||||||
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