geochemistrypi.data_mining package

Subpackages

• geochemistrypi.data_mining.data package
  • Submodules
  • geochemistrypi.data_mining.data.data_readiness module
    • basic_info()
    • bool_input()
    • create_sub_data_set()
    • data_split()
    • float_input()
    • limit_num_input()
    • np2pd()
    • num2option()
    • num_input()
    • read_data()
    • select_columns()
    • show_data_columns()
    • str_input()
    • tuple_input()
  • geochemistrypi.data_mining.data.feature_engineering module
    • FeatureConstructor
      • FeatureConstructor.append_feature()
      • FeatureConstructor.batch_build()
      • FeatureConstructor.build()
      • FeatureConstructor.cal_words
      • FeatureConstructor.index2name()
      • FeatureConstructor.input_expression()
      • FeatureConstructor.input_feature_name()
      • FeatureConstructor.letter_map()
      • FeatureConstructor.oper
  • geochemistrypi.data_mining.data.imputation module
    • imputer()
  • geochemistrypi.data_mining.data.inference module
    • PipelineConstrutor
      • PipelineConstrutor.chain()
      • PipelineConstrutor.transformer_dict
    • build_transform_pipeline()
    • model_inference()
  • geochemistrypi.data_mining.data.preprocessing module
    • feature_scaler()
    • feature_selector()
  • geochemistrypi.data_mining.data.statistic module
    • monte_carlo_simulator()
    • test_once()
  • Module contents
• geochemistrypi.data_mining.model package
  • Subpackages
    • geochemistrypi.data_mining.model.func package
      • Subpackages
      • Module contents
  • Submodules
  • geochemistrypi.data_mining.model.classification module
    • ClassificationWorkflowBase
      • ClassificationWorkflowBase.auto_model
      • ClassificationWorkflowBase.common_components
      • ClassificationWorkflowBase.common_function
      • ClassificationWorkflowBase.customization
      • ClassificationWorkflowBase.customize_label()
      • ClassificationWorkflowBase.fit
      • ClassificationWorkflowBase.manual_hyper_parameters()
      • ClassificationWorkflowBase.predict
      • ClassificationWorkflowBase.sample_balance()
      • ClassificationWorkflowBase.settings
    • DecisionTreeClassification
      • DecisionTreeClassification.customization
      • DecisionTreeClassification.manual_hyper_parameters()
      • DecisionTreeClassification.name
      • DecisionTreeClassification.settings
      • DecisionTreeClassification.special_components
      • DecisionTreeClassification.special_function
    • ExtraTreesClassification
      • ExtraTreesClassification.manual_hyper_parameters()
      • ExtraTreesClassification.name
      • ExtraTreesClassification.settings
      • ExtraTreesClassification.special_components
      • ExtraTreesClassification.special_function
    • GradientBoostingClassification
      • GradientBoostingClassification.customization
      • GradientBoostingClassification.manual_hyper_parameters()
      • GradientBoostingClassification.name
      • GradientBoostingClassification.settings
      • GradientBoostingClassification.special_components
      • GradientBoostingClassification.special_function
    • KNNClassification
      • KNNClassification.manual_hyper_parameters()
      • KNNClassification.name
      • KNNClassification.settings
      • KNNClassification.special_components
      • KNNClassification.special_function
    • LogisticRegressionClassification
      • LogisticRegressionClassification.manual_hyper_parameters()
      • LogisticRegressionClassification.name
      • LogisticRegressionClassification.settings
      • LogisticRegressionClassification.special_components
      • LogisticRegressionClassification.special_function
    • MLPClassification
      • MLPClassification.manual_hyper_parameters()
      • MLPClassification.name
      • MLPClassification.ray_tune()
      • MLPClassification.special_components
      • MLPClassification.special_function
    • RandomForestClassification
      • RandomForestClassification.manual_hyper_parameters()
      • RandomForestClassification.name
      • RandomForestClassification.settings
      • RandomForestClassification.special_components
      • RandomForestClassification.special_function
    • SVMClassification
      • SVMClassification.customization
      • SVMClassification.manual_hyper_parameters()
      • SVMClassification.name
      • SVMClassification.settings
      • SVMClassification.special_components
      • SVMClassification.special_function
    • XgboostClassification
      • XgboostClassification.manual_hyper_parameters()
      • XgboostClassification.name
      • XgboostClassification.settings
      • XgboostClassification.special_components
      • XgboostClassification.special_function
  • geochemistrypi.data_mining.model.clustering module
    • AffinityPropagationClustering
      • AffinityPropagationClustering.name
    • AgglomerativeClustering
      • AgglomerativeClustering.name
    • BIRCHClusteringClustering
      • BIRCHClusteringClustering.name
    • BisectingKMeansClustering
      • BisectingKMeansClustering.name
    • ClusteringWorkflowBase
      • ClusteringWorkflowBase.common_function
      • ClusteringWorkflowBase.fit()
      • ClusteringWorkflowBase.get_cluster_centers()
      • ClusteringWorkflowBase.get_labels()
      • ClusteringWorkflowBase.manual_hyper_parameters()
    • DBSCANClustering
      • DBSCANClustering.manual_hyper_parameters()
      • DBSCANClustering.name
      • DBSCANClustering.special_components()
      • DBSCANClustering.special_function
    • GaussianMixturesClustering
      • GaussianMixturesClustering.name
    • KMeansClustering
      • KMeansClustering.manual_hyper_parameters()
      • KMeansClustering.name
      • KMeansClustering.special_components()
      • KMeansClustering.special_function
    • MeanShiftClustering
      • MeanShiftClustering.name
    • OPTICSClustering
      • OPTICSClustering.name
    • SpectralClustering
      • SpectralClustering.name
    • WardHierarchicalClustering
      • WardHierarchicalClustering.name
  • geochemistrypi.data_mining.model.decomposition module
    • DecompositionWorkflowBase
      • DecompositionWorkflowBase.common_function
      • DecompositionWorkflowBase.fit()
      • DecompositionWorkflowBase.fit_transform()
      • DecompositionWorkflowBase.manual_hyper_parameters()
      • DecompositionWorkflowBase.transform()
    • MDSDecomposition
      • MDSDecomposition.manual_hyper_parameters()
      • MDSDecomposition.name
      • MDSDecomposition.special_components()
      • MDSDecomposition.special_function
    • PCADecomposition
      • PCADecomposition.manual_hyper_parameters()
      • PCADecomposition.name
      • PCADecomposition.special_components()
      • PCADecomposition.special_function
    • TSNEDecomposition
      • TSNEDecomposition.manual_hyper_parameters()
      • TSNEDecomposition.name
      • TSNEDecomposition.special_components()
      • TSNEDecomposition.special_function
  • geochemistrypi.data_mining.model.regression module
    • ClassicalLinearRegression
      • ClassicalLinearRegression.manual_hyper_parameters()
      • ClassicalLinearRegression.name
      • ClassicalLinearRegression.special_components()
      • ClassicalLinearRegression.special_function
    • DecisionTreeRegression
      • DecisionTreeRegression.customization
      • DecisionTreeRegression.manual_hyper_parameters()
      • DecisionTreeRegression.name
      • DecisionTreeRegression.settings
      • DecisionTreeRegression.special_components
      • DecisionTreeRegression.special_function
    • ElasticNetRegression
      • ElasticNetRegression.manual_hyper_parameters()
      • ElasticNetRegression.name
      • ElasticNetRegression.special_components()
      • ElasticNetRegression.special_function
    • ExtraTreesRegression
      • ExtraTreesRegression.manual_hyper_parameters()
      • ExtraTreesRegression.name
      • ExtraTreesRegression.settings
      • ExtraTreesRegression.special_components
      • ExtraTreesRegression.special_function
    • GradientBoostingRegression
      • GradientBoostingRegression.customization
      • GradientBoostingRegression.manual_hyper_parameters()
      • GradientBoostingRegression.name
      • GradientBoostingRegression.settings
      • GradientBoostingRegression.special_components
      • GradientBoostingRegression.special_function
    • KNNRegression
      • KNNRegression.manual_hyper_parameters()
      • KNNRegression.name
      • KNNRegression.settings
      • KNNRegression.special_components
      • KNNRegression.special_function
    • LassoRegression
      • LassoRegression.manual_hyper_parameters()
      • LassoRegression.name
      • LassoRegression.special_components()
      • LassoRegression.special_function
    • MLPRegression
      • MLPRegression.manual_hyper_parameters()
      • MLPRegression.name
      • MLPRegression.ray_tune()
      • MLPRegression.special_components
      • MLPRegression.special_function
    • PolynomialRegression
      • PolynomialRegression.manual_hyper_parameters()
      • PolynomialRegression.name
      • PolynomialRegression.poly()
      • PolynomialRegression.special_components()
      • PolynomialRegression.special_function
    • RandomForestRegression
      • RandomForestRegression.manual_hyper_parameters()
      • RandomForestRegression.name
      • RandomForestRegression.settings
      • RandomForestRegression.special_components
      • RandomForestRegression.special_function
    • RegressionWorkflowBase
      • RegressionWorkflowBase.auto_model
      • RegressionWorkflowBase.common_components
      • RegressionWorkflowBase.common_function
      • RegressionWorkflowBase.customization
      • RegressionWorkflowBase.fit
      • RegressionWorkflowBase.manual_hyper_parameters()
      • RegressionWorkflowBase.predict
      • RegressionWorkflowBase.ray_tune()
      • RegressionWorkflowBase.settings
    • SGDRegression
      • SGDRegression.manual_hyper_parameters()
      • SGDRegression.name
      • SGDRegression.special_components()
      • SGDRegression.special_function
    • SVMRegression
      • SVMRegression.customization
      • SVMRegression.manual_hyper_parameters()
      • SVMRegression.name
      • SVMRegression.settings
      • SVMRegression.special_components
      • SVMRegression.special_function
    • XgboostRegression
      • XgboostRegression.manual_hyper_parameters()
      • XgboostRegression.name
      • XgboostRegression.settings
      • XgboostRegression.special_components
      • XgboostRegression.special_function
  • Module contents
• geochemistrypi.data_mining.plot package
  • Submodules
  • geochemistrypi.data_mining.plot.geochemistry_plot module
  • geochemistrypi.data_mining.plot.map_plot module
    • map_projected_by_basemap()
    • map_projected_by_cartopy()
    • process_world_map()
  • geochemistrypi.data_mining.plot.statistic_plot module
    • basic_statistic()
    • correlation_plot()
    • distribution_plot()
    • is_imputed()
    • is_null_value()
    • log_distribution_plot()
    • probability_plot()
    • ratio_null_vs_filled()
  • Module contents
• geochemistrypi.data_mining.process package
  • Submodules
  • geochemistrypi.data_mining.process.classify module
    • ClassificationModelSelection
      • ClassificationModelSelection.activate
  • geochemistrypi.data_mining.process.cluster module
    • ClusteringModelSelection
      • ClusteringModelSelection.activate()
  • geochemistrypi.data_mining.process.decompose module
    • DecompositionModelSelection
      • DecompositionModelSelection.activate()
  • geochemistrypi.data_mining.process.regress module
    • RegressionModelSelection
      • RegressionModelSelection.activate
  • Module contents
• geochemistrypi.data_mining.tests package
  • Subpackages
    • geochemistrypi.data_mining.tests.test_data package
      • Submodules
      • geochemistrypi.data_mining.tests.test_data.test_data_readiness module
      • Module contents
  • Module contents
• geochemistrypi.data_mining.utils package
  • Submodules
  • geochemistrypi.data_mining.utils.base module
    • check_package()
    • clear_output()
    • create_geopi_output_dir()
    • get_os()
    • install_package()
    • log()
    • save_data()
    • save_fig()
    • save_model()
    • save_text()
    • show_warning()
  • geochemistrypi.data_mining.utils.exceptions module
    • InvalidFileError
  • geochemistrypi.data_mining.utils.mlflow_utils module
    • retrieve_previous_experiment_id()
  • Module contents

Submodules

geochemistrypi.data_mining.cli_pipeline module

cli_pipeline(training_data_path: str, inference_data_path: str | None = None) → None

The command line interface for Geochemistry π.

Parameters:

• training_data_path (str) – The path of the training data.

• inference_data_path (str, optional) – The path of the inference data, by default None

geochemistrypi.data_mining.constants module

geochemistrypi.data_mining.dash_pipeline module

dash_pipeline(requests_pathname_prefix: str | None = None) → Dash

The web applicatioin for Geochemistry π.

geochemistrypi.data_mining.router module

geochemistrypi.data_mining.schemas module

class Dataset(*, id: int, name: str = None, json_data: str = None, sequence: int = None, user_id: int = None)

Bases: BaseModel

class Config

Bases: object

orm_mode = True

id: int

json_data: str

name: str

sequence: int

user_id: int

class Diagram(*, id: int, name: str = None, image: bytes = None, dataset_id: int = None)

Bases: BaseModel

class Config

Bases: object

orm_mode = True

dataset_id: int

id: int

image: bytes

name: str

geochemistrypi.data_mining.service module

geochemistrypi.data_mining.sql_models module

Module contents