Index Symbols | _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | X | Y Symbols 1d 1d array 2d 2d array _ __call__() (scikitplot._tweedie.tweedie_gen method) _estimator_type A acquire() (scikitplot.sp_logging.AlwaysStdErrHandler method) addFilter() (scikitplot.sp_logging.AlwaysStdErrHandler method) aggregate_over_ntiles() (scikitplot.modelplotpy.ModelPlotPy method) akaike_info_criterion() (in module scikitplot._astropy.stats) akaike_info_criterion_lsq() (in module scikitplot._astropy.stats) AlwaysStdErrHandler (class in scikitplot.sp_logging) API array-like attribute attributes B backwards compatibility bayesian_blocks() (in module scikitplot._astropy.stats) bayesian_info_criterion() (in module scikitplot._astropy.stats) bayesian_info_criterion_lsq() (in module scikitplot._astropy.stats) binary binary_ks_curve() (in module scikitplot.api._utils) binned_binom_proportion() (in module scikitplot._astropy.stats) binom_conf_interval() (in module scikitplot._astropy.stats) bootstrap() (in module scikitplot._astropy.stats) C calculate_bin_edges() (in module scikitplot._astropy.stats) callable categorical feature cdf() (scikitplot._tweedie.tweedie_gen method) cdf_from_intervals() (in module scikitplot._astropy.stats) class_weight classes_ classifier classifiers clone cloned close() (scikitplot.sp_logging.AlwaysStdErrHandler method) clusterer clusterers coef_ common tests components_ compute_ncp_prior() (scikitplot._astropy.stats.Events method) (scikitplot._astropy.stats.FitnessFunc method) (scikitplot._astropy.stats.PointMeasures method) (scikitplot._astropy.stats.RegularEvents method) config_context() (in module scikitplot) consumer continuous continuous multi-output continuous multioutput converter() (scikitplot.sp_logging.GoogleLogFormatter method) createLock() (scikitplot.sp_logging.AlwaysStdErrHandler method) CRITICAL (in module scikitplot.sp_logging) critical() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) cross fitting cross validation cross-fitting cross-validation cross-validation estimator cross-validation generator cross-validation splitter cumulative_gain_curve() (in module scikitplot.api._utils) cv CV splitter D data leakage data type DEBUG (in module scikitplot.sp_logging) debug() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) decile_table() (in module scikitplot.kds) decision_function default_msec_format (scikitplot.sp_logging.GoogleLogFormatter attribute) default_time_format (scikitplot.sp_logging.GoogleLogFormatter attribute) density estimator deprecation dimensionality docstring double underscore double underscore notation dtype duck typing E early stopping embedding_ emit() (scikitplot.sp_logging.AlwaysStdErrHandler method) entropy() (scikitplot._tweedie.tweedie_gen method) environment variable HOME, [1], [2], [3], [4] MESONPY_EDITABLE_VERBOSE MPLBACKEND MPLCONFIGDIR, [1], [2], [3], [4], [5] PATH PYTHONPATH, [1] QT_API ERROR (in module scikitplot.sp_logging) error() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) error_log() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) estimator estimator instance estimator tags estimators evaluation metric evaluation metrics Events (class in scikitplot._astropy.stats) examples expect() (scikitplot._tweedie.tweedie_gen method) experimental expit() (in module scikitplot.experimental._cy_experimental) F FATAL (in module scikitplot.sp_logging) fatal() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) feature feature extractor feature extractors feature vector feature_importances_ features filter() (scikitplot.sp_logging.AlwaysStdErrHandler method) fit fit() (scikitplot._astropy.stats.Events method) (scikitplot._astropy.stats.FitnessFunc method) (scikitplot._astropy.stats.PointMeasures method) (scikitplot._astropy.stats.RegularEvents method) (scikitplot._tweedie.tweedie_gen method) fit_line() (in module scikitplot.probscale) fit_loc_scale() (scikitplot._tweedie.tweedie_gen method) fit_predict fit_transform fitness() (scikitplot._astropy.stats.Events method) (scikitplot._astropy.stats.FitnessFunc method) (scikitplot._astropy.stats.PointMeasures method) (scikitplot._astropy.stats.RegularEvents method) FitnessFunc (class in scikitplot._astropy.stats) fitted fitting flush() (scikitplot.sp_logging.AlwaysStdErrHandler method) fold_intervals() (in module scikitplot._astropy.stats) format() (scikitplot.sp_logging.AlwaysStdErrHandler method) (scikitplot.sp_logging.GoogleLogFormatter method) formatException() (scikitplot.sp_logging.GoogleLogFormatter method) formatMessage() (scikitplot.sp_logging.GoogleLogFormatter method) formatStack() (scikitplot.sp_logging.GoogleLogFormatter method) formatTime() (scikitplot.sp_logging.GoogleLogFormatter method) freedman_bin_width() (in module scikitplot._astropy.stats) freeze() (scikitplot._tweedie.tweedie_gen method) function G gallery gaussian_fwhm_to_sigma (in module scikitplot._astropy.stats) gaussian_sigma_to_fwhm (in module scikitplot._astropy.stats) get_config() (in module scikitplot) get_feature_names_out get_logger() (in module scikitplot.sp_logging) get_n_splits get_name() (scikitplot.sp_logging.AlwaysStdErrHandler method) get_params get_params() (scikitplot.modelplotpy.ModelPlotPy method) get_transform() (scikitplot.probscale.ProbScale method) getEffectiveLevel() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) GoogleLogFormatter (class in scikitplot.sp_logging) graph_view() (in module scikitplot.visualkeras) groups H handle() (scikitplot.sp_logging.AlwaysStdErrHandler method) handleError() (scikitplot.sp_logging.AlwaysStdErrHandler method) histogram() (in module scikitplot._astropy.stats) histogram_intervals() (in module scikitplot._astropy.stats) HOME, [1], [2], [3] hyper-parameter hyperparameter I imputation impute indexable induction inductive INFO (in module scikitplot.sp_logging) info() (scikitplot.sp_logging.SpLogger method) interval() (scikitplot._tweedie.tweedie_gen method) interval_overlap_length() (in module scikitplot._astropy.stats) isf() (scikitplot._tweedie.tweedie_gen method) J joblib K kernel knuth_bin_width() (in module scikitplot._astropy.stats) kuiper() (in module scikitplot._astropy.stats) kuiper_false_positive_probability() (in module scikitplot._astropy.stats) kuiper_two() (in module scikitplot._astropy.stats) L label indicator matrix labels_ layered_view() (in module scikitplot.visualkeras) leakage level (scikitplot.sp_logging.SpLogger property) limit_range_for_scale() (scikitplot.probscale.ProbScale method) log() (scikitplot.sp_logging.SpLogger method) log_expit() (in module scikitplot.experimental._cy_experimental) log_if() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) log_softmax() (in module scikitplot.experimental._logsumexp) logcdf() (scikitplot._tweedie.tweedie_gen method) logit() (in module scikitplot.experimental._cy_experimental) logpdf() (scikitplot._tweedie.tweedie_gen method) logsf() (scikitplot._tweedie.tweedie_gen method) logsumexp() (in module scikitplot.experimental._logsumexp) M mad_std() (in module scikitplot._astropy.stats) max_iter mean() (scikitplot._tweedie.tweedie_gen method) median() (scikitplot._tweedie.tweedie_gen method) median_absolute_deviation() (in module scikitplot._astropy.stats) memmapping memory memory map memory mapping MESONPY_EDITABLE_VERBOSE meta-estimator meta-estimators metadata metaestimator metaestimators metric missing values ModelPlotPy (class in scikitplot.modelplotpy) module scikitplot scikitplot._astropy.stats._bayesian_blocks scikitplot._astropy.stats._histogram scikitplot._astropy.stats.funcs scikitplot._astropy.stats.info_theory scikitplot._factory_api scikitplot._tweedie._tweedie_dist scikitplot.api scikitplot.api.decomposition scikitplot.api.estimators scikitplot.api.metrics scikitplot.experimental scikitplot.kds scikitplot.modelplotpy scikitplot.probscale scikitplot.sp_logging scikitplot.stats scikitplot.visualkeras scikitplot.visualkeras.graph scikitplot.visualkeras.layered moment() (scikitplot._tweedie.tweedie_gen method) MPLCONFIGDIR, [1], [2], [3], [4] multi-class multi-class multi-output multi-label multi-output multi-output continuous multi-output multi-class multiclass multiclass multioutput multilabel multilabel indicator matrices multilabel indicator matrix multioutput multioutput continuous multioutput multiclass N n_components n_features n_iter_ n_iter_no_change n_jobs n_outputs n_samples n_targets name (scikitplot.probscale.ProbScale attribute) (scikitplot.sp_logging.AlwaysStdErrHandler property) (scikitplot.sp_logging.SpLogger property) narrative docs narrative documentation nnlf() (scikitplot._tweedie.tweedie_gen method) NOTSET (in module scikitplot.sp_logging) np O online learning online_help() (in module scikitplot) out-of-core outlier detector outlier detectors outputs P p0_prior() (scikitplot._astropy.stats.Events method) (scikitplot._astropy.stats.FitnessFunc method) (scikitplot._astropy.stats.PointMeasures method) (scikitplot._astropy.stats.RegularEvents method) pair pairwise metric pairwise metrics param parameter parameters params partial_fit pd pdf() (scikitplot._tweedie.tweedie_gen method) plot_all() (in module scikitplot.modelplotpy) plot_calibration() (in module scikitplot.api.metrics) plot_classifier_eval() (in module scikitplot.api.metrics) plot_confusion_matrix() (in module scikitplot.api.metrics) plot_costsrevs() (in module scikitplot.modelplotpy) plot_cumgains() (in module scikitplot.modelplotpy) plot_cumlift() (in module scikitplot.modelplotpy) plot_cumresponse() (in module scikitplot.modelplotpy) plot_cumulative_gain() (in module scikitplot.kds) plot_elbow() (in module scikitplot.api.estimators) plot_feature_importances() (in module scikitplot.api.estimators) plot_ks_statistic() (in module scikitplot.kds) plot_learning_curve() (in module scikitplot.api.estimators) plot_lift() (in module scikitplot.kds) plot_lift_decile_wise() (in module scikitplot.kds) plot_pca_2d_projection() (in module scikitplot.api.decomposition) plot_pca_component_variance() (in module scikitplot.api.decomposition) plot_pos() (in module scikitplot.probscale) plot_precision_recall() (in module scikitplot.api.metrics) plot_precision_recall_curve() (in module scikitplot.api.metrics) plot_profit() (in module scikitplot.modelplotpy) plot_residuals_distribution() (in module scikitplot.api.metrics) plot_response() (in module scikitplot.modelplotpy) plot_roc() (in module scikitplot.api.metrics) plot_roc_curve() (in module scikitplot.api.metrics) plot_roi() (in module scikitplot.modelplotpy) plot_silhouette() (in module scikitplot.api.metrics) plotting_scope() (scikitplot.modelplotpy.ModelPlotPy method) PointMeasures (class in scikitplot._astropy.stats) poisson_conf_interval() (in module scikitplot._astropy.stats) pos_label ppf() (scikitplot._tweedie.tweedie_gen method) precomputed predict predict_log_proba predict_proba predictor predictors prepare_scores_and_ntiles() (scikitplot.modelplotpy.ModelPlotPy method) print_labels() (in module scikitplot.kds) probplot() (in module scikitplot.probscale) ProbScale (class in scikitplot.probscale) py_print() (in module scikitplot.experimental._py_experimental) Python Enhancement Proposals PEP 440 PYTHONPATH R random_state (scikitplot._tweedie.tweedie_gen property) rectangular regressor regressors RegularEvents (class in scikitplot._astropy.stats) release() (scikitplot.sp_logging.AlwaysStdErrHandler method) removeFilter() (scikitplot.sp_logging.AlwaysStdErrHandler method) report() (in module scikitplot.kds) reset_params() (scikitplot.modelplotpy.ModelPlotPy method) router rvs() (scikitplot._tweedie.tweedie_gen method) S sample sample properties sample property sample_weight samples save_figure() (in module scikitplot.api._utils) save_plot() (in module scikitplot.api._utils) scikit-learn enhancement proposals scikit-learn-contrib scikitplot module scikitplot._astropy.stats._bayesian_blocks module scikitplot._astropy.stats._histogram module scikitplot._astropy.stats.funcs module scikitplot._astropy.stats.info_theory module scikitplot._factory_api module scikitplot._tweedie._tweedie_dist module scikitplot.api module scikitplot.api.decomposition module scikitplot.api.estimators module scikitplot.api.metrics module scikitplot.experimental module scikitplot.kds module scikitplot.modelplotpy module scikitplot.probscale module scikitplot.sp_logging module scikitplot.stats module scikitplot.visualkeras module scikitplot.visualkeras.graph module scikitplot.visualkeras.layered module score score_samples scorer scoring scott_bin_width() (in module scikitplot._astropy.stats) semi-supervised semi-supervised learning semisupervised set_config() (in module scikitplot) set_default_locators_and_formatters() (scikitplot.probscale.ProbScale method) set_name() (scikitplot.sp_logging.AlwaysStdErrHandler method) set_params set_params() (scikitplot.modelplotpy.ModelPlotPy method) setFormatter() (scikitplot.sp_logging.AlwaysStdErrHandler method) setLevel() (in module scikitplot.sp_logging) (scikitplot.sp_logging.AlwaysStdErrHandler method) (scikitplot.sp_logging.SpLogger method) setStream() (scikitplot.sp_logging.AlwaysStdErrHandler method) sf() (scikitplot._tweedie.tweedie_gen method) show_config() (in module scikitplot) show_versions() (in module scikitplot) sigmoid() (in module scikitplot.experimental._logsumexp) signal_to_noise_oir_ccd() (in module scikitplot._astropy.stats) SLEP SLEPs softmax() (in module scikitplot.experimental._logsumexp) sp_logger (in module scikitplot.sp_logging) SpacingDummyLayer (class in scikitplot.visualkeras) sparse graph sparse matrix split SpLogger (class in scikitplot.sp_logging) stateless stats() (scikitplot._tweedie.tweedie_gen method) std() (scikitplot._tweedie.tweedie_gen method) stream (scikitplot.sp_logging.AlwaysStdErrHandler property) supervised supervised learning support() (scikitplot._tweedie.tweedie_gen method) T target targets terminator (scikitplot.sp_logging.AlwaysStdErrHandler attribute) transduction transductive transform transformer transformers tweedie (in module scikitplot._tweedie) tweedie_gen (class in scikitplot._tweedie) U unlabeled unlabeled data unsupervised unsupervised learning usesTime() (scikitplot.sp_logging.GoogleLogFormatter method) V validate_input() (scikitplot._astropy.stats.Events method) (scikitplot._astropy.stats.FitnessFunc method) (scikitplot._astropy.stats.PointMeasures method) (scikitplot._astropy.stats.RegularEvents method) validate_labels() (in module scikitplot.api._utils) validate_plotting_kwargs() (in module scikitplot.api._utils) var() (scikitplot._tweedie.tweedie_gen method) vectorizer vectorizers verbose vlog() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) W warm_start WARN (in module scikitplot.sp_logging) warn() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) WARNING (in module scikitplot.sp_logging) warning() (in module scikitplot.sp_logging) (scikitplot.sp_logging.SpLogger method) X X Xt Y Y y
