Index

A

abs() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) accuracy (getml.Pipeline property) (getml.pipeline.Pipeline property) (getml.pipeline.Scores property) (in module getml.pipeline.metrics) acos() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) add() (getml.data.Container method) (getml.data.DataFrame method) (getml.data.DataModel method) (getml.DataFrame method) add_dummies (getml.preprocessors.Imputation attribute) added (getml.data.View property) agg_sets (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.preprocessors.Mapping attribute) aggregation (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) allow_avg (getml.feature_learning.RelMT attribute) allow_null_weights (getml.feature_learning.Relboost attribute) allow_sets (getml.feature_learning.Multirel attribute)

Any (class in getml.data.access) arange() (in module getml.data.columns) as_num() (getml.data.columns.BooleanColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) as_str() (getml.data.columns.BooleanColumnView method) (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) as_ts() (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) asin() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) assert_equal() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) atan() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) auc (getml.Pipeline property) (getml.pipeline.Pipeline property) (getml.pipeline.Scores property) (in module getml.pipeline.metrics) Avg (in module getml.feature_learning.aggregations) avg() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method)

B

base (getml.data.View property) best_pipeline (getml.hyperopt.GaussianHyperparameterSearch property) (getml.hyperopt.LatinHypercubeSearch property) (getml.hyperopt.RandomSearch property)

bfgs (in module getml.hyperopt.optimization) BooleanColumnView (class in getml.data.columns) booster (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute)

C

categorical (getml.data.Roles attribute) (in module getml.data.roles) category_trimmer (in module getml.data.subroles.exclude) CategoryTrimmer (class in getml.preprocessors) cbrt() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) ceil() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) check() (getml.data.View method) (getml.Pipeline method) (getml.pipeline.Pipeline method) children (getml.data.Placeholder property) clean_up() (getml.hyperopt.GaussianHyperparameterSearch method) (getml.hyperopt.LatinHypercubeSearch method) (getml.hyperopt.RandomSearch method) cmd (getml.data.columns.BooleanColumnView attribute) (getml.data.columns.FloatColumnView attribute) (getml.data.columns.StringColumnView attribute) colnames (getml.data.DataFrame property) (getml.data.View property) (getml.DataFrame property) colsample_bylevel (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) colsample_bytree (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) Columns (class in getml.pipeline) columns (getml.data.DataFrame property) (getml.data.Placeholder property) (getml.data.Roles property) (getml.data.View property) (getml.DataFrame property) (getml.Pipeline property) (getml.pipeline.Pipeline property) concat() (in module getml.data.split)

connect() (in module getml.sqlite3) connect_bigquery() (in module getml.database) connect_duckdb() (in module getml.database) connect_greenplum() (in module getml.database) connect_hana() (in module getml.database) connect_mariadb() (in module getml.database) connect_mysql() (in module getml.database) connect_odbc() (in module getml.database) connect_postgres() (in module getml.database) connect_sqlite3() (in module getml.database) Connection (class in getml.database) Container (class in getml.data) container (getml.data.StarSchema property) (getml.data.TimeSeries property) container_id (getml.data.Subset attribute) contains() (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) copy() (getml.data.DataFrame method) (getml.DataFrame method) copy_table() (in module getml.database) correlation (getml.pipeline.Features property) correlations() (getml.pipeline.Features method) cos() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) Count (in module getml.feature_learning.aggregations) count() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) count_distinct() (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) CountDistinct (in module getml.feature_learning.aggregations) CountDistinctOverCount (in module getml.feature_learning.aggregations) CountMinusCountDistinct (in module getml.feature_learning.aggregations) cross_entropy (getml.Pipeline property) (getml.pipeline.Pipeline property) (getml.pipeline.Scores property) (in module getml.pipeline.metrics)

D

data_frames (in module getml.project) data_model (getml.data.StarSchema property) (getml.data.TimeSeries property) DataFrame (class in getml) (class in getml.data) DataFrames (class in getml.project) DataModel (class in getml.data) datetime() (in module getml.data.time) day() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) days() (in module getml.data.time) delete() (getml.data.DataFrame method) (getml.DataFrame method) (getml.Pipeline method) (getml.pipeline.Pipeline method) (getml.project.DataFrames method) (in module getml.pipeline) (in module getml.project)

delete_project() (in module getml.engine) delta_t (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) deploy() (getml.Pipeline method) (getml.pipeline.Pipeline method) disable_hour (getml.preprocessors.Seasonal attribute) disable_minute (getml.preprocessors.Seasonal attribute) disable_month (getml.preprocessors.Seasonal attribute) disable_weekday (getml.preprocessors.Seasonal attribute) disable_year (getml.preprocessors.Seasonal attribute) drop() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) drop_table() (in module getml.database) dropped (getml.data.View property)

E

early_stopping_rounds (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) email (in module getml.data.subroles.include) (in module getml.data.subroles.only) EmailDomain (class in getml.preprocessors) environment variable PATH, [1] erf() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) EWMA_1d (in module getml.feature_learning.aggregations) EWMA_1h (in module getml.feature_learning.aggregations) EWMA_1m (in module getml.feature_learning.aggregations) EWMA_1s (in module getml.feature_learning.aggregations) EWMA_30d (in module getml.feature_learning.aggregations) EWMA_365d (in module getml.feature_learning.aggregations)

EWMA_7d (in module getml.feature_learning.aggregations) EWMA_90d (in module getml.feature_learning.aggregations) EWMA_TREND_1d (in module getml.feature_learning.aggregations) EWMA_TREND_1h (in module getml.feature_learning.aggregations) EWMA_TREND_1m (in module getml.feature_learning.aggregations) EWMA_TREND_1s (in module getml.feature_learning.aggregations) EWMA_TREND_30d (in module getml.feature_learning.aggregations) EWMA_TREND_365d (in module getml.feature_learning.aggregations) EWMA_TREND_7d (in module getml.feature_learning.aggregations) EWMA_TREND_90d (in module getml.feature_learning.aggregations) execute() (in module getml.database) (in module getml.sqlite3) exists() (in module getml.pipeline) exp (in module getml.hyperopt.kernels) exp() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) external_memory (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute)

F

Fastboost (class in getml.feature_learning) FastProp (class in getml.feature_learning) fastprop (in module getml.data.subroles.exclude) (in module getml.feature_learning.aggregations) feature_learners (in module getml.data.subroles.exclude) Features (class in getml.pipeline) features (getml.Pipeline property) (getml.pipeline.Pipeline property) filter() (getml.pipeline.Columns method) (getml.pipeline.Features method) (getml.pipeline.Scores method) (getml.pipeline.Tables method) (getml.project.DataFrames method) (getml.project.Hyperopts method) (getml.project.Pipelines method) find() (getml.pipeline.SQLCode method) First (in module getml.feature_learning.aggregations) fit() (getml.hyperopt.GaussianHyperparameterSearch method) (getml.hyperopt.LatinHypercubeSearch method) (getml.hyperopt.RandomSearch method) (getml.Pipeline method) (getml.pipeline.Pipeline method) fitted (getml.Pipeline property) (getml.pipeline.Pipeline property) FloatColumn (class in getml.data.columns) FloatColumnView (class in getml.data.columns)

floor() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) freeze() (getml.data.Container method) (getml.data.DataFrame method) (getml.DataFrame method) from_arrow() (getml.data.DataFrame class method) (getml.DataFrame class method) from_csv() (getml.data.DataFrame class method) (getml.DataFrame class method) from_db() (getml.data.DataFrame class method) (getml.DataFrame class method) from_dict() (getml.data.DataFrame class method) (getml.DataFrame class method) from_json() (getml.data.DataFrame class method) (getml.DataFrame class method) from_pandas() (getml.data.DataFrame class method) (getml.DataFrame class method) from_parquet() (getml.data.DataFrame class method) (getml.DataFrame class method) from_pyspark() (getml.data.DataFrame class method) (getml.DataFrame class method) from_s3() (getml.data.DataFrame class method) (getml.DataFrame class method) from_value() (in module getml.data.columns) from_view() (getml.data.DataFrame class method) (getml.DataFrame class method)

G

gamma (getml.feature_learning.Fastboost attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) gamma() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) gauss (in module getml.hyperopt.kernels) GaussianHyperparameterSearch (class in getml.hyperopt) get() (in module getml.database) get_colnames() (in module getml.database) getml module getml.data module getml.data.access module getml.data.columns module getml.data.concat module getml.data.delete module getml.data.exists module getml.data.list_data_frames module getml.data.load_container module getml.data.load_data_frame module getml.data.relationship module getml.data.roles module getml.data.split module getml.data.subroles module, [1] getml.data.subroles.exclude module

getml.data.subroles.include module getml.data.subroles.only module getml.data.time module getml.data.to_placeholder module getml.database module getml.datasets module getml.engine module getml.feature_learning module getml.feature_learning.aggregations module getml.hyperopt module getml.hyperopt.burn_in module getml.hyperopt.kernels module getml.hyperopt.optimization module getml.pipeline module getml.pipeline.metrics module getml.predictors module getml.preprocessors module getml.project module getml.sqlite3 module goss_a (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) goss_b (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) grid_factor (getml.feature_learning.Multirel attribute)

H

hour() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method)

hours() (in module getml.data.time) Hyperopts (class in getml.project) hyperopts (in module getml.project)

I

id (getml.hyperopt.GaussianHyperparameterSearch property) (getml.hyperopt.LatinHypercubeSearch property) (getml.hyperopt.RandomSearch property) (getml.Pipeline property) (getml.pipeline.Pipeline property) importance (getml.pipeline.Features property) importances() (getml.pipeline.Columns method) (getml.pipeline.Features method) (getml.pipeline.Tables method) Imputation (class in getml.preprocessors) imputation (in module getml.data.subroles.exclude) in_memory (getml.project.DataFrames property) infer() (getml.data.Roles method)

is_alive() (in module getml.engine) is_classification (getml.Pipeline property) (getml.pipeline.Pipeline property) is_false() (getml.data.columns.BooleanColumnView method) is_inf() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) is_nan() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) is_null() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) is_regression (getml.Pipeline property) (getml.pipeline.Pipeline property)

J

join() (getml.data.Placeholder method) (getml.data.StarSchema method) (getml.data.TimeSeries method)

join_key (getml.data.Roles attribute) (in module getml.data.roles)

K

Kurtosis (in module getml.feature_learning.aggregations)

L

Last (in module getml.feature_learning.aggregations) last_change (getml.data.columns.BooleanColumnView property) (getml.data.columns.FloatColumn property) (getml.data.columns.FloatColumnView property) (getml.data.columns.StringColumn property) (getml.data.columns.StringColumnView property) (getml.data.DataFrame property) (getml.data.View property) (getml.DataFrame property) latin_hypercube (in module getml.hyperopt.burn_in) LatinHypercubeSearch (class in getml.hyperopt) launch() (in module getml.engine) learning_rate (getml.predictors.LinearRegression attribute) (getml.predictors.LogisticRegression attribute) (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) length (getml.data.columns.BooleanColumnView property) (getml.data.columns.FloatColumn property) (getml.data.columns.FloatColumnView property) (getml.data.columns.StringColumn property) (getml.data.columns.StringColumnView property) lgamma() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) lift_curve() (getml.pipeline.Plots method) LinearRegression (class in getml.predictors)

list_connections() (in module getml.database) list_hyperopts() (in module getml.hyperopt) list_pipelines() (in module getml.pipeline) list_projects() (in module getml.engine) list_running_projects() (in module getml.engine) list_tables() (in module getml.database) load() (getml.data.DataFrame method) (getml.DataFrame method) (getml.project.DataFrames method) (in module getml.pipeline) (in module getml.project) load_air_pollution() (in module getml.datasets) load_atherosclerosis() (in module getml.datasets) load_biodegradability() (in module getml.datasets) load_consumer_expenditures() (in module getml.datasets) load_hyperopt() (in module getml.hyperopt) load_interstate94() (in module getml.datasets) load_loans() (in module getml.datasets) load_occupancy() (in module getml.datasets) log() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) LogisticRegression (class in getml.predictors) loss_function (getml.feature_learning.Fastboost attribute) (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute)

M

mae (getml.Pipeline property) (getml.pipeline.Pipeline property) (getml.pipeline.Scores property) (in module getml.pipeline.metrics) make_categorical() (in module getml.datasets) make_discrete() (in module getml.datasets) make_numerical() (in module getml.datasets) make_same_units_categorical() (in module getml.datasets) make_same_units_numerical() (in module getml.datasets) make_snowflake() (in module getml.datasets) many_to_many (in module getml.data.relationship) many_to_one (in module getml.data.relationship) Mapping (class in getml.preprocessors) mapping (in module getml.data.subroles.exclude) (in module getml.feature_learning.aggregations) matern32 (in module getml.hyperopt.kernels) matern52 (in module getml.hyperopt.kernels) Max (in module getml.feature_learning.aggregations) max() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) max_delta_step (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) max_depth (getml.feature_learning.Fastboost attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) max_lag (getml.feature_learning.FastProp attribute) max_length (getml.feature_learning.Multirel attribute) max_num_categories (getml.preprocessors.CategoryTrimmer attribute) Median (in module getml.feature_learning.aggregations) median() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) memory_usage (getml.data.DataFrame property) (getml.DataFrame property) metadata (getml.Pipeline property) (getml.pipeline.Pipeline property) microseconds() (in module getml.data.time) milliseconds() (in module getml.data.time) Min (in module getml.feature_learning.aggregations) min() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) min_child_weights (getml.feature_learning.Fastboost attribute) (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) min_df (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute)

min_freq (getml.preprocessors.CategoryTrimmer attribute) (getml.preprocessors.Mapping attribute) min_num_samples (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) minute() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) minutes() (in module getml.data.time) Mode (in module getml.feature_learning.aggregations) module getml getml.data getml.data.access getml.data.columns getml.data.concat getml.data.delete getml.data.exists getml.data.list_data_frames getml.data.load_container getml.data.load_data_frame getml.data.relationship getml.data.roles getml.data.split getml.data.subroles, [1] getml.data.subroles.exclude getml.data.subroles.include getml.data.subroles.only getml.data.time getml.data.to_placeholder getml.database getml.datasets getml.engine getml.feature_learning getml.feature_learning.aggregations getml.hyperopt getml.hyperopt.burn_in getml.hyperopt.kernels getml.hyperopt.optimization getml.pipeline getml.pipeline.metrics getml.predictors getml.preprocessors getml.project getml.sqlite3 month() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) Multirel (class in getml.feature_learning) multirel (in module getml.data.subroles.exclude) (in module getml.feature_learning.aggregations) multithreading (getml.preprocessors.Mapping attribute)

N

n_estimators (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) n_jobs (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) n_most_frequent (getml.feature_learning.FastProp attribute) name (getml.data.columns.FloatColumn property) (getml.data.columns.StringColumn property) (getml.data.Placeholder property) (getml.data.View property) (getml.hyperopt.GaussianHyperparameterSearch property) (getml.hyperopt.LatinHypercubeSearch property) (getml.hyperopt.RandomSearch property) (getml.Pipeline property) (getml.pipeline.Features property) (getml.pipeline.Pipeline property) (in module getml.project) namedtuple() (in module getml.feature_learning.aggregations) names (getml.data.DataModel property) (getml.pipeline.Columns property) (getml.pipeline.Features property) (getml.pipeline.Tables property) nbytes() (getml.data.DataFrame method) (getml.DataFrame method)

ncols() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) nelder_mead (in module getml.hyperopt.optimization) normalize_type (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) nrows() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) num_features (getml.feature_learning.Fastboost attribute) (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) num_parallel_tree (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) num_subfeatures (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) num_threads (getml.feature_learning.Fastboost attribute) (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) numerical (getml.data.Roles attribute) (in module getml.data.roles) NumMax (in module getml.feature_learning.aggregations) NumMin (in module getml.feature_learning.aggregations)

O

objective (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute)

on_disk (getml.project.DataFrames property) one_drop (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) one_to_many (in module getml.data.relationship) one_to_one (in module getml.data.relationship)

P

PATH, [1] peripheral (getml.data.Subset attribute) Pipeline (class in getml) (class in getml.pipeline) Pipelines (class in getml.project) pipelines (in module getml.project) Placeholder (class in getml.data) Plots (class in getml.pipeline) plots (getml.Pipeline property) (getml.pipeline.Pipeline property)

population (getml.data.Placeholder property) (getml.data.Subset attribute) precision_recall_curve() (getml.pipeline.Plots method) predict() (getml.Pipeline method) (getml.pipeline.Pipeline method) predictors (in module getml.data.subroles.exclude) preprocessors (in module getml.data.subroles.exclude) propositionalization (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) (in module getml.data.relationship)

Q

Q1 (in module getml.feature_learning.aggregations) Q10 (in module getml.feature_learning.aggregations) Q25 (in module getml.feature_learning.aggregations) Q5 (in module getml.feature_learning.aggregations)

Q75 (in module getml.feature_learning.aggregations) Q90 (in module getml.feature_learning.aggregations) Q95 (in module getml.feature_learning.aggregations) Q99 (in module getml.feature_learning.aggregations)

R

random (in module getml.hyperopt.burn_in) random() (in module getml.data.columns) (in module getml.data.split) RandomSearch (class in getml.hyperopt) rate_drop (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) read_arrow() (getml.data.DataFrame method) (getml.DataFrame method) read_csv() (getml.data.DataFrame method) (getml.DataFrame method) (in module getml.database) (in module getml.sqlite3) read_db() (getml.data.DataFrame method) (getml.DataFrame method) read_json() (getml.data.DataFrame method) (getml.DataFrame method) read_list() (in module getml.sqlite3) read_pandas() (getml.data.DataFrame method) (getml.DataFrame method) (in module getml.sqlite3) read_parquet() (getml.data.DataFrame method) (getml.DataFrame method) read_pyspark() (getml.data.DataFrame method) (getml.DataFrame method) read_query() (getml.data.DataFrame method) (getml.DataFrame method) read_s3() (getml.data.DataFrame method) (getml.DataFrame method) (in module getml.database) read_view() (getml.data.DataFrame method) (getml.DataFrame method) refresh() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) (getml.hyperopt.GaussianHyperparameterSearch method) (getml.hyperopt.LatinHypercubeSearch method) (getml.hyperopt.RandomSearch method) (getml.Pipeline method) (getml.pipeline.Pipeline method) reg_alpha (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) reg_lambda (getml.feature_learning.Fastboost attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) (getml.predictors.LinearRegression attribute) (getml.predictors.LogisticRegression attribute) (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute)

regularization (getml.feature_learning.Multirel attribute) Relboost (class in getml.feature_learning) relboost (in module getml.data.subroles.exclude) RelMT (class in getml.feature_learning) relmt (in module getml.data.subroles.exclude) remove_subroles() (getml.data.DataFrame method) (getml.DataFrame method) remove_unit() (getml.data.DataFrame method) (getml.DataFrame method) restart() (in module getml.project) retrieve() (getml.project.DataFrames method) rmse (getml.Pipeline property) (getml.pipeline.Pipeline property) (getml.pipeline.Scores property) (in module getml.pipeline.metrics) roc_curve() (getml.pipeline.Plots method) role (getml.data.columns.FloatColumn property) (getml.data.columns.StringColumn property) Roles (class in getml.data) roles (getml.data.DataFrame property) (getml.data.Placeholder property) (getml.data.View property) (getml.DataFrame property) round() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) round_robin (getml.feature_learning.Multirel attribute) rowid (getml.data.DataFrame property) (getml.data.View property) (getml.DataFrame property) rowid() (in module getml.data.columns) rsquared (getml.Pipeline property) (getml.pipeline.Pipeline property) (getml.pipeline.Scores property) (in module getml.pipeline.metrics)

S

sample_type (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) sampling_factor (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) save() (getml.data.Container method) (getml.data.DataFrame method) (getml.DataFrame method) (getml.pipeline.SQLCode method) (getml.project.DataFrames method) (in module getml.project) ScaleGBMClassifier (class in getml.predictors) ScaleGBMRegressor (class in getml.predictors) score (getml.hyperopt.GaussianHyperparameterSearch property) (getml.hyperopt.LatinHypercubeSearch property) (getml.hyperopt.RandomSearch property) score() (getml.Pipeline method) (getml.pipeline.Pipeline method) scored (getml.Pipeline property) (getml.pipeline.Pipeline property) Scores (class in getml.pipeline) scores (getml.Pipeline property) (getml.pipeline.Pipeline property) Seasonal (class in getml.preprocessors) seasonal (in module getml.data.subroles.exclude) second() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) seconds() (in module getml.data.time) seed (getml.feature_learning.Fastboost attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) (getml.predictors.ScaleGBMClassifier attribute) (getml.predictors.ScaleGBMRegressor attribute) select() (getml.pipeline.Columns method) set_project() (in module getml) (in module getml.engine) set_role() (getml.data.DataFrame method) (getml.DataFrame method) set_s3_access_key_id() (in module getml.data.access) set_s3_secret_access_key() (in module getml.data.access) set_subroles() (getml.data.DataFrame method) (getml.DataFrame method) set_unit() (getml.data.DataFrame method) (getml.DataFrame method) shape (getml.data.DataFrame property) (getml.data.View property) (getml.DataFrame property) share_aggregations (getml.feature_learning.Multirel attribute) share_conditions (getml.feature_learning.Multirel attribute) shrinkage (getml.feature_learning.Fastboost attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute)

shutdown() (in module getml.engine) silent (getml.feature_learning.Fastboost attribute) (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) sin() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) Skew (in module getml.feature_learning.aggregations) skip_drop (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) sniff_csv() (in module getml.database) (in module getml.sqlite3) sniff_pandas() (in module getml.sqlite3) sniff_s3() (in module getml.database) sort() (getml.pipeline.Columns method) (getml.pipeline.Features method) (getml.pipeline.Scores method) (getml.pipeline.Tables method) (getml.project.DataFrames method) (getml.project.Hyperopts method) (getml.project.Pipelines method) SQLCode (class in getml.pipeline) sqrt() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) StarSchema (class in getml.data) Stddev (in module getml.feature_learning.aggregations) stddev() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) StringColumn (class in getml.data.columns) StringColumnView (class in getml.data.columns) subroles (getml.data.columns.FloatColumn property) (getml.data.columns.FloatColumnView property) (getml.data.columns.StringColumn property) (getml.data.columns.StringColumnView property) subsample (getml.feature_learning.Fastboost attribute) (getml.predictors.XGBoostClassifier attribute) (getml.predictors.XGBoostRegressor attribute) subselection (getml.data.View property) Subset (class in getml.data) substr() (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) Substring (class in getml.preprocessors) substring (in module getml.data.subroles.include) (in module getml.data.subroles.only) Sum (in module getml.feature_learning.aggregations) sum() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) suspend() (in module getml.project) suspend_project() (in module getml.engine) switch() (in module getml.project) sync() (getml.data.Container method) (getml.data.StarSchema method) (getml.data.TimeSeries method)

T

Tables (class in getml.pipeline) tables (getml.Pipeline property) (getml.pipeline.Pipeline property) tan() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) target (getml.data.Roles attribute) (in module getml.data.roles) targets (getml.Pipeline property) (getml.pipeline.Pipeline property) (getml.pipeline.Tables property) text (getml.data.Roles attribute) (in module getml.data.roles) text_field_splitter (in module getml.data.subroles.exclude) TextFieldSplitter (class in getml.preprocessors) time() (in module getml.data.split) time_stamp (getml.data.Roles attribute) (in module getml.data.roles) TimeSeries (class in getml.data) TimeSinceFirstMaximum (in module getml.feature_learning.aggregations) TimeSinceFirstMinimum (in module getml.feature_learning.aggregations) TimeSinceLastMaximum (in module getml.feature_learning.aggregations) TimeSinceLastMinimum (in module getml.feature_learning.aggregations) to_arrow() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_csv() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_db() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_df() (getml.data.View method) to_dict() (getml.data.Placeholder method) (getml.data.Roles method) to_html() (getml.data.DataFrame method) (getml.DataFrame method) to_json() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_list() (getml.data.Placeholder method) (getml.data.Roles method) (in module getml.sqlite3) to_numpy() (getml.data.columns.BooleanColumnView method) (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method)

to_pandas() (getml.data.Container method) (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) (getml.pipeline.Columns method) (getml.pipeline.Features method) (getml.pipeline.Tables method) (in module getml.sqlite3) to_parquet() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_placeholder() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_pyspark() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_s3() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) to_sql() (getml.pipeline.Features method) to_str() (getml.pipeline.SQLCode method) transform() (getml.Pipeline method) (getml.pipeline.Pipeline method) Trend (in module getml.feature_learning.aggregations) tune_feature_learners() (in module getml.hyperopt) tune_predictors() (in module getml.hyperopt) type (getml.feature_learning.Fastboost property) (getml.feature_learning.FastProp property) (getml.feature_learning.Multirel property) (getml.feature_learning.Relboost property) (getml.feature_learning.RelMT property) (getml.hyperopt.GaussianHyperparameterSearch property) (getml.hyperopt.LatinHypercubeSearch property) (getml.hyperopt.RandomSearch property) (getml.predictors.LinearRegression property) (getml.predictors.LogisticRegression property) (getml.predictors.ScaleGBMClassifier property) (getml.predictors.ScaleGBMRegressor property) (getml.predictors.XGBoostClassifier property) (getml.predictors.XGBoostRegressor property)

U

unique() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) unit (getml.data.columns.FloatColumn property) (getml.data.columns.FloatColumnView property) (getml.data.columns.StringColumn property) (getml.data.columns.StringColumnView property) (getml.preprocessors.Substring attribute) unload() (getml.data.DataFrame method) (getml.DataFrame method) (getml.project.DataFrames method)

unused (getml.data.Roles property) unused_float (getml.data.Roles attribute) (in module getml.data.roles) unused_string (getml.data.Roles attribute) (in module getml.data.roles) update() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method)

V

validate() (getml.feature_learning.Fastboost method) (getml.feature_learning.FastProp method) (getml.feature_learning.Multirel method) (getml.feature_learning.Relboost method) (getml.feature_learning.RelMT method) (getml.hyperopt.GaussianHyperparameterSearch method) (getml.hyperopt.LatinHypercubeSearch method) (getml.hyperopt.RandomSearch method) (getml.predictors.LinearRegression method) (getml.predictors.LogisticRegression method) (getml.predictors.ScaleGBMClassifier method) (getml.predictors.ScaleGBMRegressor method) (getml.predictors.XGBoostClassifier method) (getml.predictors.XGBoostRegressor method) (getml.preprocessors.CategoryTrimmer method) (getml.preprocessors.EmailDomain method) (getml.preprocessors.Imputation method) (getml.preprocessors.Mapping method) (getml.preprocessors.Seasonal method) (getml.preprocessors.Substring method) (getml.preprocessors.TextFieldSplitter method)

Var (in module getml.feature_learning.aggregations) var() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) VariationCoefficient (in module getml.feature_learning.aggregations) View (class in getml.data) vocab_size (getml.feature_learning.FastProp attribute) (getml.feature_learning.Multirel attribute) (getml.feature_learning.Relboost attribute) (getml.feature_learning.RelMT attribute)

W

weekday() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) weeks() (in module getml.data.time) where() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) with_column() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) with_name() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) with_role() (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method)

with_subroles() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method) with_unit() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method) (getml.data.columns.StringColumn method) (getml.data.columns.StringColumnView method) (getml.data.DataFrame method) (getml.data.View method) (getml.DataFrame method)

X

XGBoostClassifier (class in getml.predictors)

XGBoostRegressor (class in getml.predictors)

Y

year() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method)

yearday() (getml.data.columns.FloatColumn method) (getml.data.columns.FloatColumnView method)