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Major Refactor: SklearnOptimizer replace all old Optimizers
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|---|---|---|
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@@ -331,7 +331,6 @@ dmypy.json | |
| *testsdir | ||
| *testsfile | ||
| *testsfiles | ||
| *test | ||
| *testdir | ||
| *testfile | ||
| *testfiles | ||
|
|
||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,2 +1 @@ | ||
| from .genoptimizer.meta import SklearnOptimizer | ||
| from .genoptimizer import Hyperparam |
79 changes: 79 additions & 0 deletions
79
mloptimizer/conf/CustomXGBClassifier_default_HyperparamSpace.json
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| @@ -0,0 +1,79 @@ | ||
| { | ||
| "fixed_hyperparams": { | ||
| "base_score": 0.5, | ||
| "booster": "gbtree", | ||
| "eval_metric": "auc" | ||
| }, | ||
| "evolvable_hyperparams": { | ||
| "eta": { | ||
| "name": "eta", | ||
| "min_value": 0, | ||
| "max_value": 100, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| }, | ||
| "colsample_bytree": { | ||
| "name": "colsample_bytree", | ||
| "min_value": 3, | ||
| "max_value": 10, | ||
| "hyperparam_type": "float", | ||
| "scale": 10 | ||
| }, | ||
| "alpha": { | ||
| "name": "alpha", | ||
| "min_value": 0, | ||
| "max_value": 100, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "lambda": { | ||
| "name": "lambda", | ||
| "min_value": 0, | ||
| "max_value": 100, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "gamma": { | ||
| "name": "gamma", | ||
| "min_value": 0, | ||
| "max_value": 20, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "max_depth": { | ||
| "name": "max_depth", | ||
| "min_value": 2, | ||
| "max_value": 20, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "n_estimators": { | ||
| "name": "n_estimators", | ||
| "min_value": 100, | ||
| "max_value": 500, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "subsample": { | ||
| "name": "subsample", | ||
| "min_value": 700, | ||
| "max_value": 1000, | ||
| "hyperparam_type": "float", | ||
| "scale": 1000 | ||
| }, | ||
| "num_boost_round": { | ||
| "name": "num_boost_round", | ||
| "min_value": 2, | ||
| "max_value": 100, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "scale_pos_weight": { | ||
| "name": "scale_pos_weight", | ||
| "min_value": 15, | ||
| "max_value": 40, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| }, | ||
| "min_child_weight": { | ||
| "name": "min_child_weight", | ||
| "min_value": 0, | ||
| "max_value": 100, | ||
| "hyperparam_type": "int" | ||
| } | ||
| } | ||
| } |
33 changes: 33 additions & 0 deletions
33
mloptimizer/conf/ExtraTreesClassifier_default_HyperparamSpace.json
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| @@ -0,0 +1,33 @@ | ||
| { | ||
| "fixed_hyperparams": { | ||
| "class_weight": "balanced" | ||
| }, | ||
| "evolvable_hyperparams": { | ||
| "max_features": { | ||
| "name": "max_features", | ||
| "min_value": 1, | ||
| "max_value": 100, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| }, | ||
| "n_estimators": { | ||
| "name": "n_estimators", | ||
| "min_value": 5, | ||
| "max_value": 250, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "max_depth": { | ||
| "name": "max_depth", | ||
| "min_value": 2, | ||
| "max_value": 20, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "min_impurity_decrease": { | ||
| "name": "min_impurity_decrease", | ||
| "min_value": 0, | ||
| "max_value": 150, | ||
| "hyperparam_type": "float", | ||
| "scale": 1000 | ||
| } | ||
| } | ||
| } |
46 changes: 46 additions & 0 deletions
46
mloptimizer/conf/GradientBoostingClassifier_default_HyperparamSpace.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| { | ||
| "fixed_hyperparams": { | ||
| }, | ||
| "evolvable_hyperparams": { | ||
| "max_features": { | ||
| "name": "max_features", | ||
| "min_value": 1, | ||
| "max_value": 100, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| }, | ||
| "n_estimators": { | ||
| "name": "n_estimators", | ||
| "min_value": 5, | ||
| "max_value": 250, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "max_depth": { | ||
| "name": "max_depth", | ||
| "min_value": 2, | ||
| "max_value": 20, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "min_impurity_decrease": { | ||
| "name": "min_impurity_decrease", | ||
| "min_value": 0, | ||
| "max_value": 150, | ||
| "hyperparam_type": "float", | ||
| "scale": 1000 | ||
| }, | ||
| "learning_rate": { | ||
| "name": "learning_rate", | ||
| "min_value": 1, | ||
| "max_value": 10000, | ||
| "hyperparam_type": "float", | ||
| "scale": 1000000 | ||
| }, | ||
| "subsample": { | ||
| "name": "subsample", | ||
| "min_value": 10, | ||
| "max_value": 100, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| } | ||
| } | ||
| } |
40 changes: 40 additions & 0 deletions
40
mloptimizer/conf/RandomForestClassifier_default_HyperparamSpace.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,40 @@ | ||
| { | ||
| "fixed_hyperparams": { | ||
| "class_weight": "balanced" | ||
| }, | ||
| "evolvable_hyperparams": { | ||
| "max_features": { | ||
| "name": "max_features", | ||
| "min_value": 1, | ||
| "max_value": 100, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| }, | ||
| "n_estimators": { | ||
| "name": "n_estimators", | ||
| "min_value": 5, | ||
| "max_value": 250, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "max_samples": { | ||
| "name": "max_samples", | ||
| "min_value": 10, | ||
| "max_value": 100, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| }, | ||
| "max_depth": { | ||
| "name": "max_depth", | ||
| "min_value": 2, | ||
| "max_value": 20, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "min_impurity_decrease": { | ||
| "name": "min_impurity_decrease", | ||
| "min_value": 0, | ||
| "max_value": 150, | ||
| "hyperparam_type": "float", | ||
| "scale": 1000 | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,31 @@ | ||
| { | ||
| "fixed_hyperparams": { | ||
| }, | ||
| "evolvable_hyperparams": { | ||
| "C": { | ||
| "name": "C", | ||
| "min_value": 1, | ||
| "max_value": 10000, | ||
| "hyperparam_type": "float", | ||
| "scale": 10 | ||
| }, | ||
| "degree": { | ||
| "name": "degree", | ||
| "min_value": 0, | ||
| "max_value": 6, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "gamma": { | ||
| "name": "gamma", | ||
| "min_value": 10, | ||
| "max_value": 100000000, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "max_iter": { | ||
| "name": "max_iter", | ||
| "min_value": 100, | ||
| "max_value": 1000, | ||
| "hyperparam_type": "int" | ||
| } | ||
| } | ||
| } |
52 changes: 52 additions & 0 deletions
52
mloptimizer/conf/XGBClassifier_default_HyperparamSpace.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| { | ||
| "fixed_hyperparams": { | ||
| }, | ||
| "evolvable_hyperparams": { | ||
| "colsample_bytree": { | ||
| "name": "colsample_bytree", | ||
| "min_value": 3, | ||
| "max_value": 10, | ||
| "hyperparam_type": "float", | ||
| "scale": 10 | ||
| }, | ||
| "gamma": { | ||
| "name": "gamma", | ||
| "min_value": 0, | ||
| "max_value": 20, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "learning_rate": { | ||
| "name": "learning_rate", | ||
| "min_value": 1, | ||
| "max_value": 100, | ||
| "hyperparam_type": "float", | ||
| "scale": 1000 | ||
| }, | ||
| "max_depth": { | ||
| "name": "max_depth", | ||
| "min_value": 2, | ||
| "max_value": 20, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "n_estimators": { | ||
| "name": "n_estimators", | ||
| "min_value": 100, | ||
| "max_value": 500, | ||
| "hyperparam_type": "int" | ||
| }, | ||
| "subsample": { | ||
| "name": "subsample", | ||
| "min_value": 700, | ||
| "max_value": 1000, | ||
| "hyperparam_type": "float", | ||
| "scale": 1000 | ||
| }, | ||
| "scale_pos_weight": { | ||
| "name": "scale_pos_weight", | ||
| "min_value": 15, | ||
| "max_value": 40, | ||
| "hyperparam_type": "float", | ||
| "scale": 100 | ||
| } | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,9 @@ | ||
| { | ||
| "DecisionTreeClassifier": "DecisionTreeClassifier_default_HyperparamSpace.json", | ||
| "RandomForestClassifier": "RandomForestClassifier_default_HyperparamSpace.json", | ||
| "ExtraTreesClassifier": "ExtraTreesClassifier_default_HyperparamSpace.json", | ||
| "GradientBoostingClassifier": "GradientBoostingClassifier_default_HyperparamSpace.json", | ||
| "XGBClassifier": "XGBClassifier_default_HyperparamSpace.json", | ||
| "CustomXGBClassifier": "CustomXGBClassifier_default_HyperparamSpace.json", | ||
| "SVC": "SVC_default_HyperparamSpace.json" | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,7 +1,4 @@ | ||
| from .base import BaseOptimizer | ||
| from .trees import TreeOptimizer, ForestOptimizer, ExtraTreesOptimizer, GradientBoostingOptimizer | ||
| from .xgb import XGBClassifierOptimizer, CustomXGBClassifierOptimizer | ||
| from .svc import SVCOptimizer | ||
| from .keras import KerasClassifierOptimizer | ||
| from .catboost import CatBoostClassifierOptimizer | ||
| from .meta import SklearnOptimizer |
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