Documentation of internals
Modules
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PredictMD.PredictMD
— Module.
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PredictMD.Cleaning
— Module.
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PredictMD.Compilation
— Module.
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PredictMD.GPU
— Module.
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PredictMD.Server
— Module.
Constants
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PredictMD.Fittable
— Constant.
Fittable
Types
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PredictMD.AbstractEstimator
— Type.
AbstractEstimator
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PredictMD.AbstractFeatureContrasts
— Type.
AbstractFeatureContrasts
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PredictMD.AbstractPipeline
— Type.
AbstractPipeline
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PredictMD.AbstractPlot
— Type.
AbstractPlot{T}
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PredictMD.AbstractTransformer
— Type.
AbstractTransformer
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PredictMD.DataFrameFeatureContrasts
— Type.
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PredictMD.DataFrameFeatureContrasts
— Method.
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PredictMD.DecisionTreeModel
— Type.
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PredictMD.GLMModel
— Type.
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PredictMD.ImmutableDataFrame2GLMSingleLabelBinaryClassTransformer
— Type.
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PredictMD.ImmutableFeatureArrayTransposerTransformer
— Type.
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PredictMD.ImmutablePackageMultiLabelPredictionTransformer
— Type.
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PredictMD.ImmutablePackageSingleLabelPredictProbaTransformer
— Type.
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PredictMD.ImmutablePackageSingleLabelPredictionTransformer
— Type.
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PredictMD.ImmutablePredictProbaSingleLabelInt2StringTransformer
— Type.
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PredictMD.ImmutablePredictionsSingleLabelInt2StringTransformer
— Type.
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PredictMD.KnetModel
— Type.
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PredictMD.LIBSVMModel
— Type.
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PredictMD.MutableDataFrame2ClassificationKnetTransformer
— Type.
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PredictMD.MutableDataFrame2DecisionTreeTransformer
— Type.
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PredictMD.MutableDataFrame2RegressionKnetTransformer
— Type.
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PredictMD.SimplePipeline
— Type.
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PredictMD.SimplePipeline
— Method.
Functions
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PredictMD.DataFrame2LIBSVMTransformer
— Method.
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PredictMD._getlabelint2stringmap
— Method.
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PredictMD._getlabelstring2intmap
— Method.
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PredictMD._single_labeldataframeknetregression_Knet
— Method.
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PredictMD._single_labeldataframelinearregression_GLM
— Method.
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PredictMD._single_labeldataframerandomforestregression_DecisionTree
— Method.
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PredictMD._single_labeldataframesvmregression_LIBSVM
— Method.
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PredictMD._single_labelmulticlassdataframeknetclassifier_Knet
— Method.
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PredictMD._single_labelmulticlassdataframesvmclassifier_LIBSVM
— Method.
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PredictMD._single_labelmulticlassdfrandomforestclassifier_DecisionTree
— Method.
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PredictMD._singlelabelbinaryclassdataframelogisticclassifier_GLM
— Method.
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PredictMD._singlelabelbinaryclassdataframeprobitclassifier_GLM
— Method.
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PredictMD._singlelabelbinaryclassificationmetrics
— Method.
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PredictMD._singlelabelbinaryclassificationmetrics_tunableparam
— Method.
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PredictMD._singlelabelregressionmetrics
— Method.
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PredictMD.accuracy
— Method.
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PredictMD.auprc
— Method.
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PredictMD.aurocc
— Method.
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PredictMD.averageprecisionscore
— Method.
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PredictMD.avg_precision
— Method.
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PredictMD.binary_brier_score
— Method.
binary_brier_score(ytrue, yscore)
Computes the binary formulation of the Brier score, defined as:
Lower values are better. Best value is 0.
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PredictMD.calculate_smote_pct_under
— Method.
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PredictMD.check_column_types
— Method.
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PredictMD.cohen_kappa
— Method.
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PredictMD.cohen_kappa
— Method.
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PredictMD.cohen_kappa
— Method.
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PredictMD.compute_contingency_table
— Method.
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PredictMD.compute_contingency_table
— Method.
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PredictMD.convert_value_to_missing!
— Function.
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PredictMD.delete_nothings!
— Method.
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PredictMD.f1score
— Method.
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PredictMD.false_negative_rate
— Method.
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PredictMD.false_positive_rate
— Method.
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PredictMD.fbetascore
— Method.
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PredictMD.filename_extension
— Method.
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PredictMD.fit!
— Function.
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PredictMD.fit!
— Function.
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PredictMD.fit!
— Function.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fit!
— Method.
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PredictMD.fix_column_types!
— Method.
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PredictMD.fix_type
— Function.
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PredictMD.generate_feature_contrasts
— Method.
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PredictMD.generate_formula
— Method.
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PredictMD.generate_formula
— Method.
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PredictMD.generate_formula
— Method.
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PredictMD.generate_formula
— Method.
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PredictMD.generate_interaction_terms
— Method.
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PredictMD.get_binary_thresholds
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_history
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.get_underlying
— Method.
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PredictMD.getallrocnums
— Method.
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PredictMD.icd9_code_to_single_level_dx_ccs
— Method.
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PredictMD.inverse
— Method.
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PredictMD.is_appveyor_ci
— Function.
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PredictMD.is_ci
— Function.
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PredictMD.is_ci_or_runtests
— Function.
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PredictMD.is_ci_or_runtests_or_docs_or_examples
— Function.
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PredictMD.is_deploy_docs
— Function.
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PredictMD.is_docs_or_examples
— Function.
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PredictMD.is_make_docs
— Function.
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PredictMD.is_make_examples
— Function.
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PredictMD.is_nothing
— Function.
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PredictMD.is_one_to_one
— Method.
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PredictMD.is_runtests
— Function.
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PredictMD.is_square
— Method.
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PredictMD.is_travis_ci
— Function.
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PredictMD.is_travis_ci_on_apple
— Function.
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PredictMD.is_travis_ci_on_linux
— Function.
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PredictMD.load_model
— Method.
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PredictMD.mean_square_error
— Method.
mean_square_error(ytrue, ypred)
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PredictMD.multilabelprobabilitiestopredictions
— Method.
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PredictMD.negative_predictive_value
— Method.
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PredictMD.open_plots_during_tests
— Function.
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PredictMD.package_directory
— Method.
package_directory(parts...)::String
Equivalent to abspath(joinpath(abspath(package_directory()), parts...))
.
#
PredictMD.package_directory
— Method.
package_directory(f::Function, types::Tuple)::String
If function f
with type signature types
is part of a Julia package, returns the package root directory.
If function f
with type signature types
is not part of a Julia package, throws an error.
#
PredictMD.package_directory
— Method.
package_directory(f::Function)::String
If function f
is part of a Julia package, returns the package root directory.
If function f
is not part of a Julia package, throws an error.
#
PredictMD.package_directory
— Method.
package_directory(m::Method)::String
If method m
is part of a Julia package, returns the package root directory.
If method m
is not part of a Julia package, throws an error.
#
PredictMD.package_directory
— Method.
package_directory(m::Module, parts...)::String
Equivalent to result = abspath(joinpath(abspath(package_directory(m)), parts...))
.
#
PredictMD.package_directory
— Method.
package_directory(m::Module)::String
If module m
is part of a Julia package, returns the package root directory.
If module m
is not part of a Julia package, throws an error.
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PredictMD.package_directory
— Method.
package_directory()::String
Return the PredictMD package directory.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.parse_functions!
— Method.
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PredictMD.plot_probability_calibration_curve
— Method.
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PredictMD.plot_probability_calibration_curve
— Method.
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PredictMD.plotlearningcurves
— Function.
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PredictMD.plotlearningcurves
— Function.
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PredictMD.plotlearningcurves
— Method.
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PredictMD.plotprcurves
— Method.
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PredictMD.plotprcurves
— Method.
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PredictMD.plotroccurves
— Method.
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PredictMD.plotroccurves
— Method.
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PredictMD.plotsinglelabelbinaryclassifierhistogram
— Method.
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PredictMD.plotsinglelabelregressiontrueversuspredicted
— Method.
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PredictMD.positive_predictive_value
— Method.
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PredictMD.prcurve
— Method.
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PredictMD.prcurve
— Method.
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PredictMD.precision
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predict_proba
— Method.
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PredictMD.predictionsassoctodataframe
— Function.
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PredictMD.probability_calibration_metrics
— Function.
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PredictMD.probability_calibration_metrics
— Method.
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PredictMD.probability_calibration_scores_and_fractions
— Method.
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PredictMD.probability_calibration_scores_and_fractions
— Method.
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PredictMD.r2_score
— Method.
r2_score(ytrue, ypred)
Computes coefficient of determination. Higher values are better. Best value is 1.
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PredictMD.recall
— Method.
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PredictMD.risk_score_cutoff_values
— Method.
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PredictMD.risk_score_cutoff_values
— Method.
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PredictMD.roccurve
— Method.
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PredictMD.roccurve
— Method.
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PredictMD.root_mean_square_error
— Method.
root_mean_square_error(ytrue, ypred)
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PredictMD.save_model
— Method.
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PredictMD.sensitivity
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_feature_contrasts!
— Method.
#
PredictMD.set_feature_contrasts!
— Method.
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PredictMD.set_max_epochs!
— Method.
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PredictMD.set_max_epochs!
— Method.
#
PredictMD.set_max_epochs!
— Method.
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PredictMD.shuffle_rows!
— Method.
#
PredictMD.shuffle_rows!
— Method.
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PredictMD.simple_linear_regression
— Method.
simple_linear_regression(x::AbstractVector, y::AbstractVector)
Simple linear regression - given a set of two-dimensional points (x, y), use the ordinary least squares method to find the best fit line of the form y = a + b*x (where a and b are real numbers) and return the tuple (a, b).
#
PredictMD.simple_moving_average
— Method.
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PredictMD.single_labeldataframeknetregression
— Method.
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PredictMD.single_labeldataframelinearregression
— Method.
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PredictMD.single_labeldataframerandomforestregression
— Method.
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PredictMD.single_labeldataframesvmregression
— Method.
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PredictMD.single_labelmulticlassdataframeknetclassifier
— Method.
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PredictMD.single_labelmulticlassdataframerandomforestclassifier
— Method.
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PredictMD.single_labelmulticlassdataframesvmclassifier
— Method.
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PredictMD.single_labelprobabilitiestopredictions
— Method.
#
PredictMD.singlelabelbinaryclassdataframelogisticclassifier
— Method.
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PredictMD.singlelabelbinaryclassdataframeprobitclassifier
— Method.
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PredictMD.singlelabelbinaryclassificationmetrics
— Method.
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PredictMD.singlelabelbinaryclassificationmetrics
— Method.
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PredictMD.singlelabelbinaryyscore
— Method.
#
PredictMD.singlelabelbinaryytrue
— Method.
#
PredictMD.singlelabelregressionmetrics
— Method.
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PredictMD.singlelabelregressionmetrics
— Method.
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PredictMD.singlelabelregressionypred
— Method.
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PredictMD.singlelabelregressionytrue
— Method.
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PredictMD.smote
— Method.
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PredictMD.smote
— Method.
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PredictMD.specificity
— Method.
#
PredictMD.split_data
— Method.
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PredictMD.split_data
— Method.
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PredictMD.transform
— Function.
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PredictMD.transform
— Function.
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PredictMD.transform
— Method.
#
PredictMD.transform
— Method.
#
PredictMD.transform
— Method.
#
PredictMD.transform
— Method.
#
PredictMD.transform
— Method.
#
PredictMD.transform
— Method.
#
PredictMD.transform
— Method.
#
PredictMD.transform
— Method.
#
PredictMD.transform_columns!
— Function.
#
PredictMD.trapz
— Method.
trapz(x, y)
Compute the area under the curve of 2-dimensional points (x, y) using the trapezoidal method.
#
PredictMD.true_negative_rate
— Method.
#
PredictMD.true_positive_rate
— Method.
#
PredictMD.tuplify
— Function.
#
PredictMD.underlying
— Method.
#
PredictMD.version
— Method.
version(f::Function, types::Tuple)::VersionNumber
If function f
with type signature types
is part of a Julia package, returns the version number of that package.
If function f
with type signature types
is not part of a Julia package, throws an error.
#
PredictMD.version
— Method.
version(f::Function)::VersionNumber
If function f
is part of a Julia package, returns the version number of that package.
If function f
is not part of a Julia package, throws an error.
#
PredictMD.version
— Method.
version(m::Method)::VersionNumber
If method m
is part of a Julia package, returns the version number of that package.
If method m
is not part of a Julia package, throws an error.
#
PredictMD.version
— Method.
version(m::Module)::VersionNumber
If module m
is part of a Julia package, returns the version number of that package.
If module m
is not part of a Julia package, throws an error.
#
PredictMD.version
— Method.
version()::VersionNumber
Return the version number of PredictMD.
#
PredictMD.Cleaning.ccs_onehot_names
— Function.
Given a dataframe, return the column names corresponding to CCS "one-hot" columns.
Examples
import CSVFiles
import FileIO
import PredictMD
df = DataFrames.DataFrame(
FileIO.load(
MY_CSV_FILE_NAME;
type_detect_rows = 30_000,
)
)
@info(PredictMD.Cleaning.ccs_onehot_names(df))
@info(PredictMD.Cleaning.ccs_onehot_names(df, "ccs_onehot_"))
#
PredictMD.Cleaning.clean_hcup_nis_csv_icd9
— Method.
Given a single ICD 9 code, import the relevant patients from the Health Care Utilization Project (HCUP) National Inpatient Sample (NIS) database.
Examples:
import CSVFiles
import FileIO
import PredictMD
icd_code_list = ["8841"]
icd_code_type=:procedure
input_file_name_list = [
"./data/nis_2012_core.csv",
"./data/nis_2013_core.csv",
"./data/nis_2014_core.csv",
]
output_file_name = "./output/hcup_nis_pr_8841.csv"
PredictMD.Cleaning.clean_hcup_nis_csv_icd9(
icd_code_list,
input_file_name_list,
output_file_name;
icd_code_type=icd_code_type,
rows_for_type_detect = 30_000,
)
df = DataFrames.DataFrame(
FileIO.load(
output_file_name;
type_detect_rows = 30_000,
)
)
@info(PredictMD.Cleaning.ccs_onehot_names(df))
#
PredictMD.Cleaning.column_names_with_prefix
— Method.
#
PredictMD.Cleaning.symbol_begins_with
— Method.
#
PredictMD.Cleaning.x_contains_y
— Method.
Macros
Index
PredictMD.Cleaning
PredictMD.Compilation
PredictMD.GPU
PredictMD.PredictMD
PredictMD.Server
PredictMD.Fittable
PredictMD.AbstractEstimator
PredictMD.AbstractFeatureContrasts
PredictMD.AbstractPipeline
PredictMD.AbstractPlot
PredictMD.AbstractTransformer
PredictMD.DataFrameFeatureContrasts
PredictMD.DataFrameFeatureContrasts
PredictMD.DecisionTreeModel
PredictMD.GLMModel
PredictMD.ImmutableDataFrame2GLMSingleLabelBinaryClassTransformer
PredictMD.ImmutableFeatureArrayTransposerTransformer
PredictMD.ImmutablePackageMultiLabelPredictionTransformer
PredictMD.ImmutablePackageSingleLabelPredictProbaTransformer
PredictMD.ImmutablePackageSingleLabelPredictionTransformer
PredictMD.ImmutablePredictProbaSingleLabelInt2StringTransformer
PredictMD.ImmutablePredictionsSingleLabelInt2StringTransformer
PredictMD.KnetModel
PredictMD.LIBSVMModel
PredictMD.MutableDataFrame2ClassificationKnetTransformer
PredictMD.MutableDataFrame2DecisionTreeTransformer
PredictMD.MutableDataFrame2RegressionKnetTransformer
PredictMD.SimplePipeline
PredictMD.SimplePipeline
PredictMD.Cleaning.ccs_onehot_names
PredictMD.Cleaning.clean_hcup_nis_csv_icd9
PredictMD.Cleaning.column_names_with_prefix
PredictMD.Cleaning.symbol_begins_with
PredictMD.Cleaning.x_contains_y
PredictMD.DataFrame2LIBSVMTransformer
PredictMD._getlabelint2stringmap
PredictMD._getlabelstring2intmap
PredictMD._single_labeldataframeknetregression_Knet
PredictMD._single_labeldataframelinearregression_GLM
PredictMD._single_labeldataframerandomforestregression_DecisionTree
PredictMD._single_labeldataframesvmregression_LIBSVM
PredictMD._single_labelmulticlassdataframeknetclassifier_Knet
PredictMD._single_labelmulticlassdataframesvmclassifier_LIBSVM
PredictMD._single_labelmulticlassdfrandomforestclassifier_DecisionTree
PredictMD._singlelabelbinaryclassdataframelogisticclassifier_GLM
PredictMD._singlelabelbinaryclassdataframeprobitclassifier_GLM
PredictMD._singlelabelbinaryclassificationmetrics
PredictMD._singlelabelbinaryclassificationmetrics_tunableparam
PredictMD._singlelabelregressionmetrics
PredictMD.accuracy
PredictMD.auprc
PredictMD.aurocc
PredictMD.averageprecisionscore
PredictMD.avg_precision
PredictMD.binary_brier_score
PredictMD.calculate_smote_pct_under
PredictMD.check_column_types
PredictMD.cohen_kappa
PredictMD.cohen_kappa
PredictMD.cohen_kappa
PredictMD.compute_contingency_table
PredictMD.compute_contingency_table
PredictMD.convert_value_to_missing!
PredictMD.delete_nothings!
PredictMD.f1score
PredictMD.false_negative_rate
PredictMD.false_positive_rate
PredictMD.fbetascore
PredictMD.filename_extension
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fit!
PredictMD.fix_column_types!
PredictMD.fix_type
PredictMD.generate_feature_contrasts
PredictMD.generate_formula
PredictMD.generate_formula
PredictMD.generate_formula
PredictMD.generate_formula
PredictMD.generate_interaction_terms
PredictMD.get_binary_thresholds
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_history
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.get_underlying
PredictMD.getallrocnums
PredictMD.icd9_code_to_single_level_dx_ccs
PredictMD.inverse
PredictMD.is_appveyor_ci
PredictMD.is_ci
PredictMD.is_ci_or_runtests
PredictMD.is_ci_or_runtests_or_docs_or_examples
PredictMD.is_deploy_docs
PredictMD.is_docs_or_examples
PredictMD.is_make_docs
PredictMD.is_make_examples
PredictMD.is_nothing
PredictMD.is_one_to_one
PredictMD.is_runtests
PredictMD.is_square
PredictMD.is_travis_ci
PredictMD.is_travis_ci_on_apple
PredictMD.is_travis_ci_on_linux
PredictMD.load_model
PredictMD.mean_square_error
PredictMD.multilabelprobabilitiestopredictions
PredictMD.negative_predictive_value
PredictMD.open_plots_during_tests
PredictMD.package_directory
PredictMD.package_directory
PredictMD.package_directory
PredictMD.package_directory
PredictMD.package_directory
PredictMD.package_directory
PredictMD.package_directory
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.parse_functions!
PredictMD.plot_probability_calibration_curve
PredictMD.plot_probability_calibration_curve
PredictMD.plotlearningcurves
PredictMD.plotlearningcurves
PredictMD.plotlearningcurves
PredictMD.plotprcurves
PredictMD.plotprcurves
PredictMD.plotroccurves
PredictMD.plotroccurves
PredictMD.plotsinglelabelbinaryclassifierhistogram
PredictMD.plotsinglelabelregressiontrueversuspredicted
PredictMD.positive_predictive_value
PredictMD.prcurve
PredictMD.prcurve
PredictMD.precision
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predict_proba
PredictMD.predictionsassoctodataframe
PredictMD.probability_calibration_metrics
PredictMD.probability_calibration_metrics
PredictMD.probability_calibration_scores_and_fractions
PredictMD.probability_calibration_scores_and_fractions
PredictMD.r2_score
PredictMD.recall
PredictMD.risk_score_cutoff_values
PredictMD.risk_score_cutoff_values
PredictMD.roccurve
PredictMD.roccurve
PredictMD.root_mean_square_error
PredictMD.save_model
PredictMD.sensitivity
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_feature_contrasts!
PredictMD.set_max_epochs!
PredictMD.set_max_epochs!
PredictMD.set_max_epochs!
PredictMD.shuffle_rows!
PredictMD.shuffle_rows!
PredictMD.simple_linear_regression
PredictMD.simple_moving_average
PredictMD.single_labeldataframeknetregression
PredictMD.single_labeldataframelinearregression
PredictMD.single_labeldataframerandomforestregression
PredictMD.single_labeldataframesvmregression
PredictMD.single_labelmulticlassdataframeknetclassifier
PredictMD.single_labelmulticlassdataframerandomforestclassifier
PredictMD.single_labelmulticlassdataframesvmclassifier
PredictMD.single_labelprobabilitiestopredictions
PredictMD.singlelabelbinaryclassdataframelogisticclassifier
PredictMD.singlelabelbinaryclassdataframeprobitclassifier
PredictMD.singlelabelbinaryclassificationmetrics
PredictMD.singlelabelbinaryclassificationmetrics
PredictMD.singlelabelbinaryyscore
PredictMD.singlelabelbinaryytrue
PredictMD.singlelabelregressionmetrics
PredictMD.singlelabelregressionmetrics
PredictMD.singlelabelregressionypred
PredictMD.singlelabelregressionytrue
PredictMD.smote
PredictMD.smote
PredictMD.specificity
PredictMD.split_data
PredictMD.split_data
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform
PredictMD.transform_columns!
PredictMD.trapz
PredictMD.true_negative_rate
PredictMD.true_positive_rate
PredictMD.tuplify
PredictMD.underlying
PredictMD.version
PredictMD.version
PredictMD.version
PredictMD.version
PredictMD.version