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.CDataFrame method) (crandas.crandas.CIndex method) (crandas.groupby.CDataFrameGroupBy method) __len__() (crandas.crandas.CIndex method) __new__() (crandas.stats.hypothesis_testing.Chi2ContingencyResult static method) __repr__() (crandas.crandas.Col 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.CDataFrame method) add_suffix() (crandas.crandas.CDataFrame 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.CDataFrame method) as_series() (crandas.crandas.CSeries method) as_table() (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) (crandas.groupby.CDataFrameGroupBy method) (crandas.stats.contingency.CrosstabResult method) as_value() (crandas.crandas.CSeries method) assign() (crandas.crandas.CDataFrame method) astype() (crandas.crandas.CDataFrame method) (crandas.crandas.CSeries method) attributes (crandas.crlearn.model.CModel 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) BoundsError bytes_to_hex() (crandas.crandas.CSeries method) C capitalize() (crandas.crandas.CSeries method) CDataFrame (class in crandas.crandas) CDataFrameGroupBy (class in 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 (class in crandas.crlearn.linear_model) CLogisticRegression (class in crandas.crlearn.logistic_regression) clone() (crandas.crandas.CDataFrame method) (crandas.crandas.ReturnValue method) (crandas.stateobject.StateObject method) CLOSED (crandas.script.ScriptMode attribute) CMinMaxScaler (class in crandas.crlearn.utils) CModel (class in crandas.crlearn.model) Col (class in crandas.crandas) col() (crandas.groupby.CDataFrameGroupBy method) (in module crandas.crandas) ColumnBoundDerivedWarning columns (crandas.crandas.CDataFrame 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.CDataFrame method) (crandas.crandas.CSeries 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 (class in 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.CDataFrame property) (crandas.crandas.CIndex property) (crandas.crandas.Col property) (crandas.crandas.CSeriesColRef 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() (in module crandas.crandas) dataframe_to_command() (in module crandas.crandas) 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.CDataFrame method) design_mode (crandas.base.Session property) DesignModeWarning dropna() (crandas.crandas.CDataFrame 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 fillna() (crandas.crandas.CDataFrame method) (crandas.crandas.CSeries method) filter() (crandas.crandas.CDataFrame method) fit() (crandas.crlearn.ensemble.CRandomForestClassifier method) (crandas.crlearn.linear_model.CLinearRegression method) (crandas.crlearn.logistic_regression.CLogisticRegression method) (crandas.crlearn.neighbors.KNeighborsRegressor method) (crandas.crlearn.utils.CMinMaxScaler method) fit_transform() (crandas.crlearn.utils.CMinMaxScaler method) for_series() (crandas.ctypes.Ctype class method) from_beta() (crandas.crlearn.logistic_regression.CLogisticRegression method) from_opened() (crandas.crlearn.model.CModel 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.CLinearRegression 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.CDataFrame method) H handle (crandas.crlearn.model.CModel 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.CModel attribute) INSUFFICIENT_SPEC_MAX (crandas.errors.BoundsErrorCode attribute) INSUFFICIENT_SPEC_MIN (crandas.errors.BoundsErrorCode attribute) INTERNAL_SERVER_ERROR (crandas.errors.EngineErrorCode attribute) InvalidServerResponse 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() (in module 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() (in module 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.CDataFrame method) (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef 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.CDataFrame method) (crandas.crandas.CSeries method) (crandas.crandas.CSeriesColRef method) min_max_normalize() (in module crandas.crlearn.utils) MinMaxScaler() (in module crandas.crlearn.utils) mode (crandas.base.Session property) 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 NOT_AUTHORIZED (crandas.errors.EngineErrorCode attribute) notna() (crandas.crandas.CSeries method) notnull() (crandas.crandas.CSeries method) nrows (crandas.crandas.CDataFrame 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.CModel method) (crandas.stats.contingency.CrosstabResult method) open_dry_run_result() (crandas.crandas.CDataFrame method) (crandas.crandas.ReturnValue method) (crandas.stateobject.StateObject method) open_to_graphs() (crandas.crlearn.ensemble.CRandomForestClassifier method) opened_to_json_output() (crandas.crandas.CDataFrame method) (crandas.crandas.ReturnValue method) (crandas.stateobject.StateObject method) 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.CModel 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.CRandomForestClassifier method) (crandas.crlearn.linear_model.CLinearRegression method) (crandas.crlearn.logistic_regression.CLogisticRegression method) predict_proba() (crandas.crlearn.ensemble.CRandomForestClassifier method) (crandas.crlearn.logistic_regression.CLogisticRegression method) predict_value() (crandas.crlearn.neighbors.KNeighborsRegressor method) print_inputs() (crandas.script.Script method) project() (crandas.crandas.CDataFrame method) R RANDOM_ERROR (crandas.errors.EngineErrorCode attribute) RandomForestClassifier() (in module 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.CDataFrame 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.CDataFrame method) save() (crandas.crlearn.model.CModel method) (crandas.script.Script method) (crandas.stateobject.StateObject method) (in module crandas.script) schema (crandas.crandas.CDataFrame property) (crandas.crandas.CIndex property) (crandas.crandas.Col property) (crandas.crandas.CSeriesColRef property) score() (crandas.crlearn.linear_model.CLinearRegression 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_frame() (crandas.stateobject.StateObject method) set_params() (crandas.crlearn.model.CModel method) settings_mode (crandas.base.Session attribute) show_transaction_graph() (in module crandas.transactions) shuffle() (crandas.crandas.CDataFrame method) size() (crandas.groupby.CDataFrameGroupBy method) skip() (crandas.script.Script method) slice() (crandas.crandas.CDataFrame method) sort_values() (crandas.crandas.CDataFrame method) sqrt() (crandas.crandas.CSeries method) start (crandas.crlearn.optimizer.LineSearchStepsizeParams attribute) StateObject (class in crandas.stateobject) 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.CMinMaxScaler 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.CDataFrame 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)