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Commit 9a9a3bff authored by Charly LAMOTHE's avatar Charly LAMOTHE
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Introduce the notion of "stage" in the experiments (see TODO comment in... 

Introduce the notion of "stage" in the experiments (see TODO comment in compute_results.py file. Add example of experiment configuration file tree in experiments/boston/stage3 for stage 3 (unoptimized parameters due to missing stage 1 and 2 results).
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code/compute_results.py
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...@@ -119,13 +119,14 @@ if __name__ == "__main__": ...@@ -119,13 +119,14 @@ if __name__ == "__main__":
""" """
TODO: TODO:
For each dataset: For each dataset:
0) A figure for the selection of the best base forest model hyperparameters (best vs default/random hyperparams) Stage 1) A figure for the selection of the best base forest model hyperparameters (best vs default/random hyperparams)
1) A figure for the selection of the best dataset normalization method Stage 2) A figure for the selection of the best dataset normalization method
2) A figure for the selection of the best combination of dataset: normalization vs D normalization vs weights normalization Stage 3) A figure for the selection of the best combination of dataset: normalization vs D normalization vs weights normalization
3) A figure for the selection of the most relevant subsets combination: train,dev vs train+dev,train+dev vs train,train+dev Stage 4) A figure for the selection of the most relevant subsets combination: train,dev vs train+dev,train+dev vs train,train+dev
4) A figure to finally compare the perf of our approach using the previous selected parameters vs the baseline vs other papers Stage 5) A figure for the selection of the best extracted forest size?
Stage 6) A figure to finally compare the perf of our approach using the previous selected parameters vs the baseline vs other papers
2)
Stage 3)
In all axis: In all axis:
- untrained forest - untrained forest
- trained base forest (straight line cause it doesn't depend on the number of extracted trees) - trained base forest (straight line cause it doesn't depend on the number of extracted trees)
......
experiments/boston/stage3/train+dev,train+dev/boston_train+dev,train+dev.json 0 → 100644
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{
"dataset_name": "boston",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train+dev,train+dev",
"normalize_weights": false
}
\ No newline at end of file
experiments/boston/stage3/train+dev,train+dev/boston_train+dev,train+dev_normalize-D.json 0 → 100644
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View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": true,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train+dev,train+dev",
"normalize_weights": false
}
\ No newline at end of file
experiments/boston/stage3/train+dev,train+dev/boston_train+dev,train+dev_normalize-D_weights-normalization.json 0 → 100644
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View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": true,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train+dev,train+dev",
"normalize_weights": true
}
\ No newline at end of file
experiments/boston/stage3/train+dev,train+dev/boston_train+dev,train+dev_weights-normalization.json 0 → 100644
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− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train+dev,train+dev",
"normalize_weights": true
}
\ No newline at end of file
experiments/boston/stage3/train,dev/boston_train,dev.json 0 → 100644
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View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,dev",
"normalize_weights": false
}
\ No newline at end of file
experiments/boston/stage3/train,dev/boston_train,dev_normalize-D.json 0 → 100644
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− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": true,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,dev",
"normalize_weights": false
}
\ No newline at end of file
experiments/boston/stage3/train,dev/boston_train,dev_normalize-D_weights-normalization.json 0 → 100644
+ 18
− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": true,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,dev",
"normalize_weights": true
}
\ No newline at end of file
experiments/boston/stage3/train,dev/boston_train,dev_weights-normalization.json 0 → 100644
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− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,dev",
"normalize_weights": true
}
\ No newline at end of file
experiments/boston/stage3/train,train+dev/boston_train,train+dev.json 0 → 100644
+ 18
− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,train+dev",
"normalize_weights": false
}
\ No newline at end of file
experiments/boston/stage3/train,train+dev/boston_train,train+dev_normalize-D.json 0 → 100644
+ 18
− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": true,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,train+dev",
"normalize_weights": false
}
\ No newline at end of file
experiments/boston/stage3/train,train+dev/boston_train,train+dev_normalize-D_weights-normalization.json 0 → 100644
+ 18
− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": true,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,train+dev",
"normalize_weights": true
}
\ No newline at end of file
experiments/boston/stage3/train,train+dev/boston_train,train+dev_weights-normalization.json 0 → 100644
+ 18
− 0
View file @ 9a9a3bff
{
"dataset_name": "boston",
"normalize_D": false,
"dataset_normalizer": "standard",
"forest_size": 100,
"extracted_forest_size": [
10,
20,
30
],
"models_dir": ".\\models",
"dev_size": 0.2,
"test_size": 0.2,
"random_seed_number": 3,
"seeds": null,
"subsets_used": "train,train+dev",
"normalize_weights": true
}
\ No newline at end of file
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