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Task Assigned To Status Pull Request Completed
1. Exploratory dataset Dane #c5f015 Link[#94] True
2. Division in years dataset Dane #c5f015 Link[#94] True
3. Best of dataset Dane #c5f015 Link[#94] True
4. Module to address skewness Dane #c5f015 Link[#94] True
5. Dataset scalling Dane #c5f015 Link[#94] True
6. Module to remove ergot features/predictors Dane #c5f015 Link[#94] True
7. Weekly aggregation Dane #c5f015 Link[#94] True
8. Monthly aggregation Dane #c5f015 Link[#94] True
9. Connect aggregation to dataset creation Dane #c5f015 Link[#94] True
10. Decision tree visualization Dane #c5f015 Link[#94] True
11. Gaussian Projection Dane #c5f015 Link[#94] True
12. PCA Dane #c5f015 Link[#94] True
13. Feature importance Dane #c5f015 Link[#94] True
14. Random Forest classication Dane #c5f015 Link[#94] True
15. Random Forest regression Dane #c5f015 Link[#94] True
16. SVM classication testing Dane #c5f015 Link[#94] True
17. SVM regression testing Dane #c5f015 Link[#94] True
18. Random Forest hyperparameter tunning Dane #c5f015 Link[#94] True
19. SVM classication hyperparameter tunning Dane #c5f015 Link[#94] True
20. Model documentation Dane #c5f015 Link[#94] True
21. Neural Networks Dane #FF0000 Link[#94] False
22. Update README Dane #c5f015 Link[#94] True
23. Evaluation module for classification Dane #c5f015 Link[#94] True
24. Evaluation module for regression Dane #c5f015 Link[#94] True
25. Dataset-creation(v1) Daniel & Jay #c5f015 Link[#90] True
26. Dataset-creation(v2) Daniel & Jay #c5f015 Link[#90] True
27. Dataset-creation(v3) Daniel & Jay #c5f015 Link[#79] True
28. Dataset-creation(v4) Daniel & Jay #c5f015 Link[#96] True
29. Investigating problem statement for each datasets Daniel & Jay #c5f015 Link[#90] True
30. Investigating features to be used for each dataset Daniel & Jay #c5f015 Link[#90] True
31. Looking into the problem of biases Daniel & Jay #c5f015 Link[#90] True
32. ML Models (LR, RF, DT, GB) Daniel #c5f015 Link[#79] True
33. Experimenting with the newly dataset created using different cross validation method Daniel #c5f015 a True
34. Autoencoder Daniel #c5f015 Block on local False
35. Fixed the ergot visualization Daniel #c5f015 Nope False
36. Research on dimentionality reduction Daniel #c5f015 Unapplicable (Book) True
37. clean model files Jay #c5f015 Link[#96] True
38. documentation of MLP Jay #c5f015 Link[#91] False
39. testing on new dataset Jay #c5f015 Link[#91] False
40. testing different balancing strategies Jay #c5f015 Link[#91] True
41. Finalize MLP model folder and structure Jay #c5f015 Link[#91] True
42. documentation results Jay #c5f015 Link[#91] False
43. start working on regression model(if possible) Jay #c5f015 a False
44. SVM Classification Dharmit #c5f015 Link[#92] True
45. KNN Classification Dharmit #c5f015 Link[#92] True
46. Experiment Models on Created Dataset Dharmit #c5f015 Link[#92] True
47. Model documentation about results Dharmit #c5f015 Link[#92] False
48. Hypertuning Model(KNN) Dharmit #c5f015 Link[#92] False
49. Hypertuning Model(SVM) Dharmit #c5f015 Link[#92] True
51. Research on Suitable Models Dharmit #c5f015 a False
52. individual ergot sample table with engineered features we can predict on JS #c5f015 Link[#97] True
53. combined weather station data table for easier subsetting for datasets JS #c5f015 Link[#98] True
54. research on imbalanced dataset strategies JS #c5f015 Link[#99] True
55. Dataset using satellite copernicus and soil moisture data plus aggregated prev year ergot as predictors Daily weekly monthly JS #c5f015 Link[#100] True
56. Use above dataset on RF, SVM, XGBoost models JS #c5f015 Link[#71] True
57. Try ensemble approach for balancing the dataset JS #c5f015 Link[#71] True
58. Multimodel approach JS #c5f015 Link[#71] False
59. Aggregation by harvest Dane #c5f015 Link True
60. Dataset documentation and refactor Dane #c5f015 Link True
61. Copernicus documentation and refactor Dane #c5f015 Link True
62. Soil moisture documentation and refactor Dane #c5f015 Link True
63. Shared documentation and refactor Dane #c5f015 Link True
64. Soil documentation and refactor Dane #c5f015 Link True
65. Weather station documentation and refactor Dane #c5f015 Link True
66. Block diagram Dane #c5f015 Link True
67. Improve data loading Dane #c5f015 Link True
68. Feature importance (part 2) Dane #c5f015 Link True
69. Model Optimization Dharmit #c5f015 a True
70. Model Documentation on Dataset Dharmit #c5f015 a True
71. Ergot Documentation on Dataset Dharmit #c5f015 a True
72. Start Documentation on Project Dharmit #c5f015 a False
73. Pipeline notebook for all exiting models Daniel #c5f015 a False
74. LSTM pipeline notebook (adding new) Daniel #c5f015 a False