Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | Y _ __eq__() (crandas.crandas.CIndex method) (crandas.crandas.Col method) __getitem__() (crandas.crandas.CIndex method) (crandas.crandas.DataFrame method) (crandas.groupby.DataFrameGroupBy method) __len__() (crandas.crandas.CIndex method) __new__() (crandas.stats.hypothesis_testing.Chi2ContingencyResult static method) __repr__() (crandas.crandas.Col method) __setitem__() (crandas.crandas.DataFrame method) A absolute_certificate_path() (crandas.base.Session method) Adam (in module crandas.crlearn.optimizer) Adamax (in module crandas.crlearn.optimizer) AdamDecaying (in module crandas.crlearn.optimizer) add_output() (crandas.stateobject.StateObject method) add_prefix() (crandas.crandas.DataFrame method) add_suffix() (crandas.crandas.DataFrame method) AES_128() (in module crandas.crypto.cipher) AES_192() (in module crandas.crypto.cipher) AES_256() (in module crandas.crypto.cipher) agg() (crandas.groupby.CSeriesGroupBy method) Aggregator (class in crandas.groupby) all() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) alpha (crandas.crlearn.optimizer.AdamDecayingStepsizeAttributes attribute) (crandas.crlearn.optimizer.AdamDecayingStepsizeParams attribute) (crandas.crlearn.optimizer.ConstantStepsizeAttributes attribute) (crandas.crlearn.optimizer.ConstantStepsizeParams attribute) ALWAYS (crandas.stateobject.SaveMode attribute) amsgrad (crandas.crlearn.optimizer.AdamOptimizerParams attribute) analyst_key (crandas.base.Session property) Any (class in crandas.placeholders) any (in module crandas.groupby) any() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) append() (crandas.crandas.DataFrame method) as_series() (crandas.crandas.CSeries method) as_table() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) (crandas.groupby.DataFrameGroupBy method) (crandas.stats.contingency.CrosstabResult method) as_value() (crandas.crandas.CSeries method) assign() (crandas.crandas.DataFrame method) assign_dict() (crandas.crandas.DataFrame method) astype() (crandas.crandas.CSeries method) (crandas.crandas.DataFrame method) attributes (crandas.crlearn.model.Model property) authorize_query() (in module crandas.script) authorized_mode (crandas.base.Session property) B b64decode() (crandas.crandas.CSeries method) b64encode() (crandas.crandas.CSeries method) base_path (crandas.base.Session property) beta1 (crandas.crlearn.optimizer.AdamaxOptimizerAttributes attribute) (crandas.crlearn.optimizer.AdamaxOptimizerParams attribute) (crandas.crlearn.optimizer.AdamOptimizerAttributes attribute) (crandas.crlearn.optimizer.AdamOptimizerParams attribute) beta2 (crandas.crlearn.optimizer.AdamaxOptimizerAttributes attribute) (crandas.crlearn.optimizer.AdamaxOptimizerParams attribute) (crandas.crlearn.optimizer.AdamOptimizerAttributes attribute) (crandas.crlearn.optimizer.AdamOptimizerParams attribute) beta_ (crandas.crlearn.logistic_regression.LogisticRegression attribute) BoundsError bytes_to_hex() (crandas.crandas.CSeries method) C capitalize() (crandas.crandas.CSeries method) CDataFrame (in module crandas.crandas) CDataFrameGroupBy (in module crandas.groupby) chi2_contingency() (in module crandas.stats.hypothesis_testing) Chi2ContingencyResult (class in crandas.stats.hypothesis_testing) chisquare() (in module crandas.stats.hypothesis_testing) choose_threshold() (in module crandas.crandas) CIndex (class in crandas.crandas) Cipher (class in crandas.crypto.cipher) classification_accuracy() (in module crandas.crlearn.metrics) clear_authorizations() (crandas.base.Session method) CLIENT_MISMATCH (crandas.errors.EngineErrorCode attribute) CLinearRegression (in module crandas.crlearn.linear_model) CLogisticRegression (in module crandas.crlearn.logistic_regression) clone() (crandas.crandas.DataFrame method) (crandas.crandas.ReturnValue method) (crandas.stateobject.StateObject method) CLOSED (crandas.script.ScriptMode attribute) CMinMaxScaler (in module crandas.crlearn.utils) CModel (in module crandas.crlearn.model) Col (class in crandas.crandas) col() (crandas.groupby.DataFrameGroupBy method) (in module crandas.crandas) ColumnBoundDerivedWarning columns (crandas.crandas.DataFrame attribute) concat() (in module crandas.crandas) ConditionalCallDetected config_path() (in module crandas.config) confusion_matrix() (in module crandas.crlearn.metrics) connect() (crandas.base.Session method) (in module crandas.base) CONNECTION_FILE (crandas.base.SettingsMode attribute) ConnectionFileError Constant (in module crandas.crlearn.optimizer) contains() (crandas.crandas.CSeries method) corr() (crandas.crandas.CSeries method) (crandas.crandas.DataFrame method) count() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) crandas.base module crandas.check_recording module crandas.compat.merge_v1 module crandas.config module crandas.connection_file module crandas.crandas module crandas.crlearn.ensemble module crandas.crlearn.linear_model module crandas.crlearn.logistic_regression module crandas.crlearn.metrics module crandas.crlearn.model module crandas.crlearn.neighbors module crandas.crlearn.optimizer module crandas.crlearn.utils module crandas.crypto.cipher module crandas.crypto.hash module crandas.ctypes module crandas.errors module crandas.groupby module crandas.re module crandas.script module crandas.stateobject module crandas.stats.contingency module crandas.stats.hypothesis_testing module crandas.stats.ranking module crandas.transactions module crandas.unsafe module CRandomForestClassifier (in module crandas.crlearn.ensemble) crosstab() (in module crandas.stats.contingency) CrosstabResult (class in crandas.stats.contingency) CSeries (class in crandas.crandas) CSeries.DT (class in crandas.crandas) CSeriesColRef (class in crandas.crandas) CSeriesFun (class in crandas.crandas) CSeriesGroupBy (class in crandas.groupby) Ctype (class in crandas.ctypes) ctype (crandas.crandas.CIndex property) (crandas.crandas.Col property) (crandas.crandas.CSeriesColRef property) (crandas.crandas.DataFrame property) CtypeDoubtWarning CtypeSpuriousColumnsWarning current_script() (in module crandas.script) CurvatureAdaptive (in module crandas.crlearn.optimizer) cut() (in module crandas.crandas) D DATA_VALUE_ERROR (crandas.errors.EngineErrorCode attribute) DataFrame (class in crandas.crandas) dataframe_to_command() (in module crandas.crandas) DataFrameGroupBy (class in crandas.groupby) DataSpuriousColumnsWarning day() (crandas.crandas.CSeries method) day_of_year() (crandas.crandas.CSeries method) dayofyear() (crandas.crandas.CSeries method) delete() (crandas.base.Session method) demo_table() (in module crandas.crandas) describe() (crandas.crandas.DataFrame method) design_mode (crandas.base.Session property) DesignModeWarning dropna() (crandas.crandas.DataFrame method) dummy_name_for() (in module crandas.script) E encode() (crandas.crandas.CSeries method) encrypt() (crandas.crypto.cipher.Cipher method) end (crandas.crlearn.optimizer.LineSearchStepsizeParams attribute) endpoint (crandas.base.Session property) EngineError ENVIRONMENT_ERROR (crandas.errors.EngineErrorCode attribute) epsilon (crandas.crlearn.optimizer.AdamaxOptimizerParams attribute) (crandas.crlearn.optimizer.AdamOptimizerParams attribute) EXECUTING (crandas.script.ScriptMode attribute) ExpectDropResult (class in crandas.crandas) expected_freq() (in module crandas.stats.contingency) F feature_name_out_ (crandas.crlearn.logistic_regression.LogisticRegression attribute) feature_names_in_ (crandas.crlearn.logistic_regression.LogisticRegression attribute) fillna() (crandas.crandas.CSeries method) (crandas.crandas.DataFrame method) filter() (crandas.crandas.DataFrame method) fit() (crandas.crlearn.ensemble.RandomForestClassifier method) (crandas.crlearn.linear_model.LinearRegression method) (crandas.crlearn.logistic_regression.LogisticRegression method) (crandas.crlearn.neighbors.KNeighborsRegressor method) (crandas.crlearn.utils.MinMaxScaler method) fit_transform() (crandas.crlearn.utils.MinMaxScaler method) for_series() (crandas.ctypes.Ctype class method) from_beta() (crandas.crlearn.logistic_regression.LogisticRegression method) from_opened() (crandas.crlearn.model.Model class method) from_spec() (crandas.ctypes.Ctype class method) fullmatch() (crandas.crandas.CSeries method) G GD (in module crandas.crlearn.optimizer) get() (crandas.base.Session method) (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) (in module crandas.groupby) (in module crandas.stateobject) get_beta() (crandas.crlearn.linear_model.LinearRegression method) get_deferred() (crandas.crandas.ExpectDropResult method) (crandas.stateobject.StateObject method) get_dry_run_result() (crandas.crandas.ExpectDropResult method) (crandas.stateobject.StateObject method) get_frame() (in module crandas.script) get_inputs() (crandas.script.Script method) get_loc() (crandas.crandas.CIndex method) get_table() (in module crandas.crandas) get_upload_handles() (in module crandas.stateobject) groupby() (crandas.crandas.DataFrame method) H handle (crandas.crlearn.model.Model property) Hash (class in crandas.crypto.hash) hex_to_bytes() (crandas.crandas.CSeries method) history (crandas.crlearn.optimizer.LbfgsOptimizerParams attribute) HMAC_RIPEMD_160() (in module crandas.crypto.hash) I if_else() (crandas.crandas.CSeries method) IF_EXISTS (crandas.stateobject.SaveMode attribute) IF_NOT_EXISTS (crandas.stateobject.SaveMode attribute) in_range() (crandas.crandas.CSeriesColRef method) inner() (crandas.crandas.CSeries method) instance (crandas.crlearn.model.Model attribute) INSUFFICIENT_SPEC_MAX (crandas.errors.BoundsErrorCode attribute) INSUFFICIENT_SPEC_MIN (crandas.errors.BoundsErrorCode attribute) INTERNAL_SERVER_ERROR (crandas.errors.EngineErrorCode attribute) InvalidServerResponse is_executing() (in module crandas.script) is_recording() (in module crandas.script) isin() (crandas.crandas.CSeries method) isna() (crandas.crandas.CSeries method) isnull() (crandas.crandas.CSeries method) iteration (crandas.crlearn.optimizer.AdamDecayingStepsizeAttributes attribute) (crandas.crlearn.optimizer.ConstantStepsizeAttributes attribute) (crandas.crlearn.optimizer.CurvatureAdaptiveStepsizeAttributes attribute) (crandas.crlearn.optimizer.LineSearchStepsizeAttributes attribute) J JoinDetected K keepalive (crandas.base.Session property) KNeighborsRegressor (class in crandas.crlearn.neighbors) kruskal() (in module crandas.stats.hypothesis_testing) L last_gradient (crandas.crlearn.optimizer.LbfgsOptimizerAttributes attribute) Lbfgs (in module crandas.crlearn.optimizer) LEGACY (crandas.base.SettingsMode attribute) len() (crandas.crandas.CSeries method) LinearRegression (class in crandas.crlearn.linear_model) LineSearch (in module crandas.crlearn.optimizer) list_uploads() (in module crandas.stateobject) load() (in module crandas.script) load_authorizations() (crandas.base.Session method) LogisticRegression (class in crandas.crlearn.logistic_regression) lower() (crandas.crandas.CSeries method) M m (crandas.crlearn.optimizer.AdamaxOptimizerAttributes attribute) (crandas.crlearn.optimizer.AdamOptimizerAttributes attribute) MALFORMED_SPEC (crandas.errors.BoundsErrorCode attribute) mask() (crandas.crandas.CSeries method) matches_template() (crandas.crandas.CIndex method) max (in module crandas.groupby) max() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) (crandas.crandas.DataFrame method) mcfadden_r2() (in module crandas.crlearn.metrics) mean() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) merge() (in module crandas.compat.merge_v1) (in module crandas.crandas) merge_m2m() (in module crandas.unsafe) MergeError METADATA_ERROR (crandas.errors.EngineErrorCode attribute) min (in module crandas.groupby) min() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) (crandas.crandas.DataFrame method) min_max_normalize() (in module crandas.crlearn.utils) MinMaxScaler (class in crandas.crlearn.utils) mode (crandas.base.Session property) Model (class in crandas.crlearn.model) model_deviance() (in module crandas.crlearn.metrics) ModelError module crandas.base crandas.check_recording crandas.compat.merge_v1 crandas.config crandas.connection_file crandas.crandas crandas.crlearn.ensemble crandas.crlearn.linear_model crandas.crlearn.logistic_regression crandas.crlearn.metrics crandas.crlearn.model crandas.crlearn.neighbors crandas.crlearn.optimizer crandas.crlearn.utils crandas.crypto.cipher crandas.crypto.hash crandas.ctypes crandas.errors crandas.groupby crandas.re crandas.script crandas.stateobject crandas.stats.contingency crandas.stats.hypothesis_testing crandas.stats.ranking crandas.transactions crandas.unsafe momentum (crandas.crlearn.optimizer.GradientDescentOptimizerAttributes attribute) (crandas.crlearn.optimizer.GradientDescentOptimizerParams attribute) month() (crandas.crandas.CSeries method) N n_classes_ (crandas.crlearn.logistic_regression.LogisticRegression attribute) NOT_AUTHORIZED (crandas.errors.EngineErrorCode attribute) notna() (crandas.crandas.CSeries method) notnull() (crandas.crandas.CSeries method) nrows (crandas.crandas.DataFrame attribute) null_deviance() (in module crandas.crlearn.metrics) O OBJECT_NOT_FOUND (crandas.errors.EngineErrorCode attribute) ObjectProperty (class in crandas.stateobject) open() (crandas.crandas.CSeries method) (crandas.crlearn.model.Model method) (crandas.stateobject.StateObject method) (crandas.stats.contingency.CrosstabResult method) open_dry_run_result() (crandas.crandas.DataFrame method) (crandas.crandas.ReturnValue method) (crandas.stateobject.StateObject method) open_to_graphs() (crandas.crlearn.ensemble.RandomForestClassifier method) opened_to_json_output() (crandas.crandas.DataFrame method) (crandas.crandas.ReturnValue method) (crandas.stateobject.StateObject method) optimizer_ (crandas.crlearn.logistic_regression.LogisticRegression attribute) OptimizerAttributes (in module crandas.crlearn.optimizer) OVERSIZED_DERIVED_RANGE (crandas.errors.BoundsErrorCode attribute) OVERSIZED_SPEC_RANGE (crandas.errors.BoundsErrorCode attribute) P pandas_dataframe_schema() (in module crandas.crandas) params (crandas.crlearn.model.Model property) parquet_to_command() (in module crandas.crandas) parse_response() (crandas.crandas.ExpectDropResult method) (crandas.stateobject.StateObject method) post() (crandas.base.Session method) precision_recall() (in module crandas.crlearn.metrics) predict() (crandas.crlearn.ensemble.RandomForestClassifier method) (crandas.crlearn.linear_model.LinearRegression method) (crandas.crlearn.logistic_regression.LogisticRegression method) predict_proba() (crandas.crlearn.ensemble.RandomForestClassifier method) (crandas.crlearn.logistic_regression.LogisticRegression method) predict_value() (crandas.crlearn.neighbors.KNeighborsRegressor method) print_inputs() (crandas.script.Script method) project() (crandas.crandas.DataFrame method) R RANDOM_ERROR (crandas.errors.EngineErrorCode attribute) RandomForestClassifier (class in crandas.crlearn.ensemble) rankdata() (in module crandas.stats.ranking) Re (class in crandas.re) read() (in module crandas.connection_file) read_csv() (in module crandas.crandas) read_csv_schema() (in module crandas.crandas) read_parquet() (in module crandas.crandas) record() (in module crandas.script) RECORDING (crandas.script.ScriptMode attribute) reference (crandas.stateobject.StateObject property) remove() (crandas.stateobject.StateObject method) remove_objects() (in module crandas.crandas) rename() (crandas.crandas.DataFrame method) renamed() (crandas.crandas.Col method) result (crandas.stateobject.StateObject property) ReturnValue (class in crandas.crandas) rho (crandas.crlearn.optimizer.LbfgsOptimizerAttributes attribute) Ridge() (in module crandas.crlearn.linear_model) RIPEMD_160 (in module crandas.crypto.hash) run_tag (crandas.script.Script property) S s (crandas.crlearn.optimizer.LbfgsOptimizerAttributes attribute) sample() (crandas.crandas.DataFrame method) save() (crandas.crlearn.model.Model method) (crandas.script.Script method) (crandas.stateobject.StateObject method) (in module crandas.script) schema (crandas.crandas.CIndex property) (crandas.crandas.Col property) (crandas.crandas.CSeriesColRef property) (crandas.crandas.DataFrame property) score() (crandas.crlearn.linear_model.LinearRegression method) score_r2() (in module crandas.crlearn.metrics) Script (class in crandas.script) ScriptIsActiveWarning Series() (in module crandas.crandas) series_max() (in module crandas.crandas) series_min() (in module crandas.crandas) SeriesEncodingError Session (class in crandas.base) set_axis() (crandas.crandas.DataFrame method) set_frame() (crandas.stateobject.StateObject method) set_params() (crandas.crlearn.model.Model method) settings_mode (crandas.base.Session attribute) shape (crandas.crandas.DataFrame property) show_transaction_graph() (in module crandas.transactions) shuffle() (crandas.crandas.DataFrame method) size() (crandas.groupby.DataFrameGroupBy method) skip() (crandas.script.Script method) slice() (crandas.crandas.DataFrame method) sort_values() (crandas.crandas.DataFrame method) sqrt() (crandas.crandas.CSeries method) start (crandas.crlearn.optimizer.LineSearchStepsizeParams attribute) StateObject (class in crandas.stateobject) std() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) stepless() (in module crandas.script) stepsize_schedule (crandas.crlearn.optimizer.AdamaxOptimizerAttributes attribute) (crandas.crlearn.optimizer.AdamaxOptimizerParams attribute) (crandas.crlearn.optimizer.AdamOptimizerAttributes attribute) (crandas.crlearn.optimizer.AdamOptimizerParams attribute) (crandas.crlearn.optimizer.GradientDescentOptimizerAttributes attribute) (crandas.crlearn.optimizer.GradientDescentOptimizerParams attribute) (crandas.crlearn.optimizer.LbfgsOptimizerAttributes attribute) (crandas.crlearn.optimizer.LbfgsOptimizerParams attribute) StepsizeScheduleAttributes (in module crandas.crlearn.optimizer) StepsizeScheduleParams (in module crandas.crlearn.optimizer) strip() (crandas.crandas.CSeries method) substitute() (crandas.crandas.CSeries method) sum (in module crandas.groupby) sum() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) sum_in_range() (crandas.crandas.CSeriesColRef method) sum_squares() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) T THRESHOLD_NOT_MET (crandas.errors.EngineErrorCode attribute) tiecorrect() (in module crandas.stats.ranking) tjur_r2() (in module crandas.crlearn.metrics) to_dict() (crandas.crandas.CIndex method) Transaction (class in crandas.transactions) transform() (crandas.crlearn.utils.MinMaxScaler method) ttest_ind() (in module crandas.stats.hypothesis_testing) U u (crandas.crlearn.optimizer.AdamaxOptimizerAttributes attribute) UNDEFINED (crandas.errors.BoundsErrorCode attribute) UnknownSchemaError UNSUPPORTED (crandas.errors.EngineErrorCode attribute) upload_pandas_dataframe() (in module crandas.crandas) upload_streaming_file() (in module crandas.crandas) upper() (crandas.crandas.CSeries method) V v (crandas.crlearn.optimizer.AdamOptimizerAttributes attribute) (crandas.crlearn.optimizer.GradientDescentOptimizerAttributes attribute) validate() (crandas.crandas.DataFrame method) Validation (class in crandas.crandas) var() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) vhat (crandas.crlearn.optimizer.AdamOptimizerAttributes attribute) vsum() (crandas.crandas.CSeries method) W weekday() (crandas.crandas.CSeries method) when() (in module crandas.crandas) where() (crandas.crandas.CSeries method) with_threshold() (crandas.crandas.CSeries method) withna() (crandas.crandas.CSeries method) withnull() (crandas.crandas.CSeries method) write() (in module crandas.connection_file) WRONG_OBJECT (crandas.errors.EngineErrorCode attribute) Y y (crandas.crlearn.optimizer.LbfgsOptimizerAttributes attribute) year() (crandas.crandas.CSeries method)