PySCIPOpt-ML
Getting Started
Basics
Examples
Basic Example - Function Approximation
Advanced Example - Wine Manufacturer
Library of Examples - SurrogateLIB
Machine Learning Models
Supported ML Models
Mixed Integer Formulations
Reference
API Reference manual
Similar Software
Bibliography
PySCIPOpt-ML
Index
Index
A
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C
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D
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E
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G
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I
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K
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L
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M
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O
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P
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R
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S
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T
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X
A
AbstractPredictorConstr (class in pyscipopt_ml.modelling.base_predictor_constraint)
add_centroid_cluster_constr() (in module pyscipopt_ml.sklearn)
add_decision_tree_classifier_constr() (in module pyscipopt_ml.sklearn)
add_decision_tree_regressor_constr() (in module pyscipopt_ml.sklearn)
add_gradient_boosting_classifier_constr() (in module pyscipopt_ml.sklearn)
add_gradient_boosting_regressor_constr() (in module pyscipopt_ml.sklearn)
add_keras_constr() (in module pyscipopt_ml.keras)
add_lgbclassifier_constr() (in module pyscipopt_ml.lightgbm)
add_lgbregressor_constr() (in module pyscipopt_ml.lightgbm)
add_linear_regression_constr() (in module pyscipopt_ml.sklearn)
add_logistic_regression_constr() (in module pyscipopt_ml.sklearn)
add_mlp_classifier_constr() (in module pyscipopt_ml.sklearn)
add_mlp_regressor_constr() (in module pyscipopt_ml.sklearn)
add_multi_output_classifier_constr() (in module pyscipopt_ml.sklearn)
add_multi_output_regressor_constr() (in module pyscipopt_ml.sklearn)
add_onnx_constr() (in module pyscipopt_ml.onnx)
add_pipeline_constr() (in module pyscipopt_ml.sklearn)
add_pls_regression_constr() (in module pyscipopt_ml.sklearn)
add_predictor_constr() (in module pyscipopt_ml)
add_random_forest_classifier_constr() (in module pyscipopt_ml.sklearn)
add_random_forest_regressor_constr() (in module pyscipopt_ml.sklearn)
add_regression_constr() (pyscipopt_ml.sklearn.pls.PLSRegressionConstr method)
add_sequential_constr() (in module pyscipopt_ml.torch)
add_support_vector_classifier_constr() (in module pyscipopt_ml.sklearn)
add_support_vector_regressor_constr() (in module pyscipopt_ml.sklearn)
add_xgbclassifier_constr() (in module pyscipopt_ml.xgboost)
add_xgbclassifier_rf_constr() (in module pyscipopt_ml.xgboost)
add_xgbregressor_constr() (in module pyscipopt_ml.xgboost)
add_xgbregressor_rf_constr() (in module pyscipopt_ml.xgboost)
C
CentroidClusterConstr (class in pyscipopt_ml.sklearn.centroid_cluster)
D
DecisionTreeConstr (class in pyscipopt_ml.sklearn.decision_tree)
E
extract_raw_data_and_create_tree_vars() (pyscipopt_ml.lightgbm.lgbgetter.LGBgetter method)
(pyscipopt_ml.xgboost.xgbgetter.XGBgetter method)
G
get_error() (pyscipopt_ml.keras.keras.KerasNetworkConstr method)
(pyscipopt_ml.lightgbm.lgbgetter.LGBgetter method)
(pyscipopt_ml.modelling.base_predictor_constraint.AbstractPredictorConstr method)
(pyscipopt_ml.onnx.neural_net_onnx.ONNXConstr method)
(pyscipopt_ml.sklearn.skgetter.SKgetter method)
(pyscipopt_ml.sklearn.skgetter.SKtransformer method)
(pyscipopt_ml.torch.sequential.SequentialConstr method)
(pyscipopt_ml.xgboost.xgbgetter.XGBgetter method)
GradientBoostingConstr (class in pyscipopt_ml.sklearn.gradient_boosting)
I
input (pyscipopt_ml.modelling.base_predictor_constraint.AbstractPredictorConstr property)
(pyscipopt_ml.sklearn.pipeline.PipelineConstr property)
input_values (pyscipopt_ml.modelling.base_predictor_constraint.AbstractPredictorConstr property)
(pyscipopt_ml.sklearn.pipeline.PipelineConstr property)
K
KerasNetworkConstr (class in pyscipopt_ml.keras.keras)
L
LGBgetter (class in pyscipopt_ml.lightgbm.lgbgetter)
LightGBMConstr (class in pyscipopt_ml.lightgbm.lightgbm_constr)
LinearRegressionConstr (class in pyscipopt_ml.sklearn.linear_regression)
LogisticRegressionConstr (class in pyscipopt_ml.sklearn.logistic_regression)
M
MLPConstr (class in pyscipopt_ml.sklearn.mlp)
module
pyscipopt_ml.sklearn.centroid_cluster
pyscipopt_ml.sklearn.decision_tree
pyscipopt_ml.sklearn.gradient_boosting
pyscipopt_ml.sklearn.linear_regression
pyscipopt_ml.sklearn.logistic_regression
pyscipopt_ml.sklearn.mlp
pyscipopt_ml.sklearn.multi_output
pyscipopt_ml.sklearn.pipeline
pyscipopt_ml.sklearn.pls
pyscipopt_ml.sklearn.random_forest
pyscipopt_ml.sklearn.support_vector
MultiOutputConstr (class in pyscipopt_ml.sklearn.multi_output)
O
ONNXConstr (class in pyscipopt_ml.onnx.neural_net_onnx)
output (pyscipopt_ml.modelling.base_predictor_constraint.AbstractPredictorConstr property)
(pyscipopt_ml.sklearn.pipeline.PipelineConstr property)
output_values (pyscipopt_ml.modelling.base_predictor_constraint.AbstractPredictorConstr property)
(pyscipopt_ml.sklearn.pipeline.PipelineConstr property)
P
PipelineConstr (class in pyscipopt_ml.sklearn.pipeline)
PLSRegressionConstr (class in pyscipopt_ml.sklearn.pls)
predictor (pyscipopt_ml.lightgbm.lgbgetter.LGBgetter attribute)
(pyscipopt_ml.sklearn.skgetter.SKgetter attribute)
(pyscipopt_ml.xgboost.xgbgetter.XGBgetter attribute)
print_stats() (pyscipopt_ml.modelling.base_predictor_constraint.AbstractPredictorConstr method)
pyscipopt_ml.sklearn.centroid_cluster
module
pyscipopt_ml.sklearn.decision_tree
module
pyscipopt_ml.sklearn.gradient_boosting
module
pyscipopt_ml.sklearn.linear_regression
module
pyscipopt_ml.sklearn.logistic_regression
module
pyscipopt_ml.sklearn.mlp
module
pyscipopt_ml.sklearn.multi_output
module
pyscipopt_ml.sklearn.pipeline
module
pyscipopt_ml.sklearn.pls
module
pyscipopt_ml.sklearn.random_forest
module
pyscipopt_ml.sklearn.support_vector
module
R
RandomForestConstr (class in pyscipopt_ml.sklearn.random_forest)
S
SequentialConstr (class in pyscipopt_ml.torch.sequential)
SKgetter (class in pyscipopt_ml.sklearn.skgetter)
SKtransformer (class in pyscipopt_ml.sklearn.skgetter)
SupportVectorConstr (class in pyscipopt_ml.sklearn.support_vector)
T
transformer (pyscipopt_ml.sklearn.skgetter.SKtransformer attribute)
X
XGBgetter (class in pyscipopt_ml.xgboost.xgbgetter)
XGBoostConstr (class in pyscipopt_ml.xgboost.xgboost_constr)