bluemath_tk package
Subpackages
- bluemath_tk.core package
- Subpackages
- Submodules
- bluemath_tk.core.decorators module
- bluemath_tk.core.logging module
- bluemath_tk.core.models module
BlueMathModelBlueMathModel.check_nans()BlueMathModel.denormalize()BlueMathModel.destandarize()BlueMathModel.get_degrees_from_uv()BlueMathModel.get_metrics()BlueMathModel.get_num_processors_available()BlueMathModel.get_uv_components()BlueMathModel.gravityBlueMathModel.list_class_attributes()BlueMathModel.list_class_methods()BlueMathModel.load_model()BlueMathModel.loggerBlueMathModel.normalize()BlueMathModel.parallel_execute()BlueMathModel.save_model()BlueMathModel.set_logger_name()BlueMathModel.set_num_processors_to_use()BlueMathModel.set_omp_num_threads()BlueMathModel.standarize()
- bluemath_tk.core.operations module
- Module contents
- bluemath_tk.datamining package
- Submodules
- bluemath_tk.datamining.kma module
- bluemath_tk.datamining.lhs module
- bluemath_tk.datamining.mda module
MDAMDA.num_centersMDA.dataMDA.normalized_dataMDA.data_to_fitMDA.data_variablesMDA.directional_variablesMDA.fitting_variablesMDA.custom_scale_factorMDA.scale_factorMDA.centroidsMDA.normalized_centroidsMDA.centroid_iterative_indicesMDA.centroid_real_indicesMDA.fit()MDA.predict()MDA.fit_predict()MDA.dataMDA.data_to_fitMDA.fit()MDA.fit_predict()MDA.normalized_dataMDA.predict()
MDAError
- bluemath_tk.datamining.pca module
PCAPCA.n_componentsPCA.is_incrementalPCA.is_fittedPCA.scalerPCA.vars_to_stackPCA.window_stacked_varsPCA.coords_to_stackPCA.coords_valuesPCA.pca_dim_for_rowsPCA.windows_in_pca_dim_for_rowsPCA.value_to_replace_nansPCA.nan_threshold_to_dropPCA.num_cols_for_varsPCA.pcsPCA.cumulative_explained_variance_ratioPCA.dataPCA.eofsPCA.explained_variancePCA.explained_variance_ratioPCA.fit()PCA.fit_transform()PCA.inverse_transform()PCA.pcaPCA.pcs_dfPCA.plot_eofs()PCA.plot_pcs()PCA.stacked_data_matrixPCA.standarized_stacked_data_matrixPCA.transform()PCA.window_processed_data
PCAError
- bluemath_tk.datamining.som module
SOMSOM.som_shapeSOM.num_dimensionsSOM.dataSOM.standarized_dataSOM.data_to_fitSOM.data_variablesSOM.directional_variablesSOM.fitting_variablesSOM.scalerSOM.centroidsSOM.is_fittedSOM.activation_response()SOM.get_centroids_probs_for_labels()SOM.plot_centroids_probs_for_labels()SOM.fit()SOM.predict()SOM.fit_predict()SOM.activation_response()SOM.dataSOM.data_to_fitSOM.distance_mapSOM.fit()SOM.fit_predict()SOM.get_centroids_probs_for_labels()SOM.plot_centroids_probs_for_labels()SOM.predict()SOM.somSOM.standarized_data
SOMError
- Module contents
BaseClusteringBaseReductionBaseSamplingClusteringComparatorKMALHSMDAMDA.num_centersMDA.dataMDA.normalized_dataMDA.data_to_fitMDA.data_variablesMDA.directional_variablesMDA.fitting_variablesMDA.custom_scale_factorMDA.scale_factorMDA.centroidsMDA.normalized_centroidsMDA.centroid_iterative_indicesMDA.centroid_real_indicesMDA.fit()MDA.predict()MDA.fit_predict()MDA.dataMDA.data_to_fitMDA.fit()MDA.fit_predict()MDA.normalized_dataMDA.predict()
PCAPCA.n_componentsPCA.is_incrementalPCA.is_fittedPCA.scalerPCA.vars_to_stackPCA.window_stacked_varsPCA.coords_to_stackPCA.coords_valuesPCA.pca_dim_for_rowsPCA.windows_in_pca_dim_for_rowsPCA.value_to_replace_nansPCA.nan_threshold_to_dropPCA.num_cols_for_varsPCA.pcsPCA.cumulative_explained_variance_ratioPCA.dataPCA.eofsPCA.explained_variancePCA.explained_variance_ratioPCA.fit()PCA.fit_transform()PCA.inverse_transform()PCA.pcaPCA.pcs_dfPCA.plot_eofs()PCA.plot_pcs()PCA.stacked_data_matrixPCA.standarized_stacked_data_matrixPCA.transform()PCA.window_processed_data
SOMSOM.som_shapeSOM.num_dimensionsSOM.dataSOM.standarized_dataSOM.data_to_fitSOM.data_variablesSOM.directional_variablesSOM.fitting_variablesSOM.scalerSOM.centroidsSOM.is_fittedSOM.activation_response()SOM.get_centroids_probs_for_labels()SOM.plot_centroids_probs_for_labels()SOM.fit()SOM.predict()SOM.fit_predict()SOM.activation_response()SOM.dataSOM.data_to_fitSOM.distance_mapSOM.fit()SOM.fit_predict()SOM.get_centroids_probs_for_labels()SOM.plot_centroids_probs_for_labels()SOM.predict()SOM.somSOM.standarized_data
- bluemath_tk.distributions package
- bluemath_tk.downloaders package
- Subpackages
- Module contents
BaseDownloaderCopernicusDownloaderCopernicusDownloader.productCopernicusDownloader.product_configCopernicusDownloader.clientCopernicusDownloader.clientCopernicusDownloader.download_data()CopernicusDownloader.download_data_era5()CopernicusDownloader.list_datasets()CopernicusDownloader.list_variables()CopernicusDownloader.productCopernicusDownloader.product_configCopernicusDownloader.products_configsCopernicusDownloader.show_markdown_table()
- bluemath_tk.interpolation package
- Submodules
- bluemath_tk.interpolation.analogs module
- bluemath_tk.interpolation.gps module
- bluemath_tk.interpolation.rbf module
RBFRBF.sigma_minRBF.sigma_maxRBF.sigma_diffRBF.kernelRBF.kernel_funcRBF.smoothRBF.subset_dataRBF.normalized_subset_dataRBF.target_dataRBF.normalized_target_dataRBF.subset_directional_variablesRBF.target_directional_variablesRBF.subset_processed_variablesRBF.target_processed_variablesRBF.subset_custom_scale_factorRBF.target_custom_scale_factorRBF.subset_scale_factorRBF.target_scale_factorRBF.rbf_coeffsRBF.opt_sigmasRBF.fit()RBF.fit_predict()RBF.kernelRBF.kernel_funcRBF.normalized_subset_dataRBF.normalized_target_dataRBF.opt_sigmasRBF.predict()RBF.rbf_coeffsRBF.rbf_kernelsRBF.sigma_diffRBF.sigma_maxRBF.sigma_minRBF.sigma_optRBF.smoothRBF.subset_custom_scale_factorRBF.subset_dataRBF.subset_directional_variablesRBF.subset_processed_variablesRBF.subset_scale_factorRBF.target_custom_scale_factorRBF.target_dataRBF.target_directional_variablesRBF.target_processed_variablesRBF.target_scale_factor
RBFErrorcubic_kernel()gaussian_kernel()inverse_kernel()multiquadratic_kernel()thin_plate_kernel()
- bluemath_tk.interpolation.rbf_scipy module
RBFRBF.sigma_minRBF.sigma_maxRBF.sigma_optRBF.kernelRBF.smoothingRBF.degreeRBF.neighborsRBF.rbfsRBF.subset_dataRBF.normalized_subset_dataRBF.target_dataRBF.normalized_target_dataRBF.subset_directional_variablesRBF.target_directional_variablesRBF.subset_processed_variablesRBF.target_processed_variablesRBF.subset_custom_scale_factorRBF.target_custom_scale_factorRBF.subset_scale_factorRBF.target_scale_factorRBF.rbf_coeffsRBF.opt_sigmasRBF.degreeRBF.fit()RBF.fit_predict()RBF.kernelRBF.neighborsRBF.normalized_subset_dataRBF.normalized_target_dataRBF.opt_sigmasRBF.predict()RBF.rbf_coeffsRBF.rbfsRBF.sigma_maxRBF.sigma_minRBF.sigma_optRBF.smoothingRBF.subset_custom_scale_factorRBF.subset_dataRBF.subset_directional_variablesRBF.subset_processed_variablesRBF.subset_scale_factorRBF.target_custom_scale_factorRBF.target_dataRBF.target_directional_variablesRBF.target_processed_variablesRBF.target_scale_factor
RBFError
- Module contents
BaseInterpolationRBFRBF.sigma_minRBF.sigma_maxRBF.sigma_diffRBF.kernelRBF.kernel_funcRBF.smoothRBF.subset_dataRBF.normalized_subset_dataRBF.target_dataRBF.normalized_target_dataRBF.subset_directional_variablesRBF.target_directional_variablesRBF.subset_processed_variablesRBF.target_processed_variablesRBF.subset_custom_scale_factorRBF.target_custom_scale_factorRBF.subset_scale_factorRBF.target_scale_factorRBF.rbf_coeffsRBF.opt_sigmasRBF.fit()RBF.fit_predict()RBF.is_fittedRBF.is_target_normalizedRBF.kernelRBF.kernel_funcRBF.normalized_subset_dataRBF.normalized_target_dataRBF.num_workersRBF.opt_sigmasRBF.predict()RBF.rbf_coeffsRBF.rbf_kernelsRBF.row_chunksRBF.sigma_diffRBF.sigma_maxRBF.sigma_minRBF.sigma_optRBF.smoothRBF.subset_custom_scale_factorRBF.subset_dataRBF.subset_directional_variablesRBF.subset_processed_variablesRBF.subset_scale_factorRBF.target_custom_scale_factorRBF.target_dataRBF.target_directional_variablesRBF.target_processed_variablesRBF.target_scale_factor
- bluemath_tk.predictor package
- Submodules
- bluemath_tk.predictor.awt module
- bluemath_tk.predictor.dwt module
- bluemath_tk.predictor.indices module
- bluemath_tk.predictor.itca module
- bluemath_tk.predictor.iwt module
- Module contents
XWTXWT.stepsXWT.num_clustersXWT.kma_bmusXWT.clusters_annual_probs_dfXWT.clusters_monthly_probs_dfXWT.clusters_perpetual_year_probs_dfXWT.clusters_probs_dfXWT.clusters_seasonal_probs_dfXWT.dataXWT.fit()XWT.get_conditioned_probabilitiesXWT.plot_dwts_probs()XWT.plot_map_features()XWT.plot_perpetual_year()XWT.plot_xwts()
- bluemath_tk.risk package
- bluemath_tk.tc package
- bluemath_tk.teslakit package
- bluemath_tk.tide package
- bluemath_tk.topo_bathy package
- bluemath_tk.waves package
- Submodules
- bluemath_tk.waves.binwaves module
- bluemath_tk.waves.climate module
- bluemath_tk.waves.estela module
- bluemath_tk.waves.greenswell module
- bluemath_tk.waves.partitioning module
- bluemath_tk.waves.series module
- bluemath_tk.waves.snakes module
- bluemath_tk.waves.spectra module
- bluemath_tk.waves.statistics module
- bluemath_tk.waves.superpoint module
- Module contents
- bluemath_tk.wrappers package