API documentation

• crandas.base
  • DesignModeWarning
  • Session
    • Session.absolute_certificate_path()
    • Session.analyst_key
    • Session.authorized_mode
    • Session.base_path
    • Session.clear_authorizations()
    • Session.connect()
    • Session.delete()
    • Session.design_mode
    • Session.endpoint
    • Session.get()
    • Session.keepalive
    • Session.load_authorizations()
    • Session.mode
    • Session.post()
    • Session.settings_mode
  • SettingsMode
    • SettingsMode.CONNECTION_FILE
    • SettingsMode.LEGACY
  • connect()
• crandas.check_recording
  • Conditional call detection
    • Suppressing warnings
  • Performing joins during script recording
  • Configuring the checking functionality
  • ConditionalCallDetected
  • JoinDetected
• crandas.crandas
  • CDataFrame
    • CDataFrame.__getitem__()
    • CDataFrame.add_prefix()
    • CDataFrame.add_suffix()
    • CDataFrame.append()
    • CDataFrame.assign()
    • CDataFrame.astype()
    • CDataFrame.clone()
    • CDataFrame.columns
    • CDataFrame.corr()
    • CDataFrame.ctype
    • CDataFrame.describe()
    • CDataFrame.dropna()
    • CDataFrame.fillna()
    • CDataFrame.filter()
    • CDataFrame.groupby()
    • CDataFrame.max()
    • CDataFrame.min()
    • CDataFrame.nrows
    • CDataFrame.open_dry_run_result()
    • CDataFrame.opened_to_json_output()
    • CDataFrame.project()
    • CDataFrame.rename()
    • CDataFrame.sample()
    • CDataFrame.schema
    • CDataFrame.shuffle()
    • CDataFrame.slice()
    • CDataFrame.sort_values()
    • CDataFrame.validate()
  • CIndex
    • CIndex.__eq__()
    • CIndex.__getitem__()
    • CIndex.__len__()
    • CIndex.ctype
    • CIndex.get_loc()
    • CIndex.matches_template()
    • CIndex.schema
    • CIndex.to_dict()
  • CSeries
    • CSeries.DT
    • CSeries.all()
    • CSeries.any()
    • CSeries.as_series()
    • CSeries.as_table()
    • CSeries.as_value()
    • CSeries.astype()
    • CSeries.b64decode()
    • CSeries.b64encode()
    • CSeries.bytes_to_hex()
    • CSeries.capitalize()
    • CSeries.contains()
    • CSeries.corr()
    • CSeries.count()
    • CSeries.day()
    • CSeries.day_of_year()
    • CSeries.dayofyear()
    • CSeries.encode()
    • CSeries.fillna()
    • CSeries.fullmatch()
    • CSeries.get()
    • CSeries.hex_to_bytes()
    • CSeries.if_else()
    • CSeries.inner()
    • CSeries.isin()
    • CSeries.isna()
    • CSeries.isnull()
    • CSeries.len()
    • CSeries.lower()
    • CSeries.mask()
    • CSeries.max()
    • CSeries.mean()
    • CSeries.min()
    • CSeries.month()
    • CSeries.notna()
    • CSeries.notnull()
    • CSeries.open()
    • CSeries.sqrt()
    • CSeries.strip()
    • CSeries.substitute()
    • CSeries.sum()
    • CSeries.sum_squares()
    • CSeries.upper()
    • CSeries.var()
    • CSeries.vsum()
    • CSeries.weekday()
    • CSeries.where()
    • CSeries.with_threshold()
    • CSeries.withna()
    • CSeries.withnull()
    • CSeries.year()
  • CSeriesColRef
    • CSeriesColRef.all()
    • CSeriesColRef.any()
    • CSeriesColRef.as_table()
    • CSeriesColRef.count()
    • CSeriesColRef.ctype
    • CSeriesColRef.get()
    • CSeriesColRef.in_range()
    • CSeriesColRef.max()
    • CSeriesColRef.mean()
    • CSeriesColRef.min()
    • CSeriesColRef.schema
    • CSeriesColRef.sum()
    • CSeriesColRef.sum_in_range()
    • CSeriesColRef.sum_squares()
    • CSeriesColRef.var()
  • CSeriesFun
  • Col
    • Col.__eq__()
    • Col.__repr__()
    • Col.ctype
    • Col.renamed()
    • Col.schema
  • CtypeSpuriousColumnsWarning
  • DataFrame()
  • DataSpuriousColumnsWarning
  • ExpectDropResult
    • ExpectDropResult.get_deferred()
    • ExpectDropResult.get_dry_run_result()
    • ExpectDropResult.parse_response()
  • ReturnValue
    • ReturnValue.clone()
    • ReturnValue.open_dry_run_result()
    • ReturnValue.opened_to_json_output()
  • Series()
  • Validation
  • choose_threshold()
  • col()
  • concat()
  • cut()
  • dataframe_to_command()
  • demo_table()
  • get_table()
  • merge()
  • pandas_dataframe_schema()
  • parquet_to_command()
  • read_csv()
  • read_csv_schema()
  • read_parquet()
  • remove_objects()
  • series_max()
  • series_min()
  • upload_pandas_dataframe()
  • upload_streaming_file()
  • when()
• crandas.crlearn
  • Model interface
    • CModel
      • CModel.attributes
      • CModel.from_opened()
      • CModel.handle
      • CModel.instance
      • CModel.open()
      • CModel.params
      • CModel.save()
      • CModel.set_params()
  • Metrics
    • classification_accuracy()
    • confusion_matrix()
    • mcfadden_r2()
    • model_deviance()
    • null_deviance()
    • precision_recall()
    • score_r2()
    • tjur_r2()
  • Utility functions
    • CMinMaxScaler
      • CMinMaxScaler.fit()
      • CMinMaxScaler.fit_transform()
      • CMinMaxScaler.transform()
    • MinMaxScaler()
    • min_max_normalize()
  • Linear regression
    • CLinearRegression
      • CLinearRegression.fit()
      • CLinearRegression.get_beta()
      • CLinearRegression.predict()
      • CLinearRegression.score()
    • LinearRegression()
    • Ridge()
  • Logistic regression
    • CLogisticRegression
      • CLogisticRegression.fit()
      • CLogisticRegression.from_beta()
      • CLogisticRegression.predict()
      • CLogisticRegression.predict_proba()
    • LogisticRegression()
  • Random forest classifier
    • CRandomForestClassifier
      • CRandomForestClassifier.fit()
      • CRandomForestClassifier.open_to_graphs()
      • CRandomForestClassifier.predict()
      • CRandomForestClassifier.predict_proba()
    • RandomForestClassifier()
  • k-nearest neighbours regressor
    • KNeighborsRegressor
      • KNeighborsRegressor.fit()
      • KNeighborsRegressor.predict_value()
  • Optimizer settings
    • Adam
    • AdamDecaying
    • AdamDecayingStepsizeAttributes
      • AdamDecayingStepsizeAttributes.alpha
      • AdamDecayingStepsizeAttributes.iteration
    • AdamDecayingStepsizeParams
      • AdamDecayingStepsizeParams.alpha
    • AdamOptimizerAttributes
      • AdamOptimizerAttributes.beta1
      • AdamOptimizerAttributes.beta2
      • AdamOptimizerAttributes.m
      • AdamOptimizerAttributes.stepsize_schedule
      • AdamOptimizerAttributes.v
      • AdamOptimizerAttributes.vhat
    • AdamOptimizerParams
      • AdamOptimizerParams.amsgrad
      • AdamOptimizerParams.beta1
      • AdamOptimizerParams.beta2
      • AdamOptimizerParams.epsilon
      • AdamOptimizerParams.stepsize_schedule
    • Adamax
    • AdamaxOptimizerAttributes
      • AdamaxOptimizerAttributes.beta1
      • AdamaxOptimizerAttributes.beta2
      • AdamaxOptimizerAttributes.m
      • AdamaxOptimizerAttributes.stepsize_schedule
      • AdamaxOptimizerAttributes.u
    • AdamaxOptimizerParams
      • AdamaxOptimizerParams.beta1
      • AdamaxOptimizerParams.beta2
      • AdamaxOptimizerParams.epsilon
      • AdamaxOptimizerParams.stepsize_schedule
    • Constant
    • ConstantStepsizeAttributes
      • ConstantStepsizeAttributes.alpha
      • ConstantStepsizeAttributes.iteration
    • ConstantStepsizeParams
      • ConstantStepsizeParams.alpha
    • CurvatureAdaptive
    • CurvatureAdaptiveStepsizeAttributes
      • CurvatureAdaptiveStepsizeAttributes.iteration
    • CurvatureAdaptiveStepsizeParams
    • GD
    • GradientDescentOptimizerAttributes
      • GradientDescentOptimizerAttributes.momentum
      • GradientDescentOptimizerAttributes.stepsize_schedule
      • GradientDescentOptimizerAttributes.v
    • GradientDescentOptimizerParams
      • GradientDescentOptimizerParams.momentum
      • GradientDescentOptimizerParams.stepsize_schedule
    • Lbfgs
    • LbfgsOptimizerAttributes
      • LbfgsOptimizerAttributes.last_gradient
      • LbfgsOptimizerAttributes.rho
      • LbfgsOptimizerAttributes.s
      • LbfgsOptimizerAttributes.stepsize_schedule
      • LbfgsOptimizerAttributes.y
    • LbfgsOptimizerParams
      • LbfgsOptimizerParams.history
      • LbfgsOptimizerParams.stepsize_schedule
    • LineSearch
    • LineSearchStepsizeAttributes
      • LineSearchStepsizeAttributes.iteration
    • LineSearchStepsizeParams
      • LineSearchStepsizeParams.end
      • LineSearchStepsizeParams.start
    • OptimizerAttributes
    • OptimizerParams
    • StepsizeScheduleAttributes
    • StepsizeScheduleParams
• crandas.crypto
  • crypto.cipher
    • AES_128()
    • AES_192()
    • AES_256()
    • Cipher
      • Cipher.encrypt()
  • crypto.hash
    • HMAC_RIPEMD_160()
    • Hash
    • RIPEMD_160
• crandas.ctypes
  • ColumnBoundDerivedWarning
  • Ctype
    • Ctype.for_series()
    • Ctype.from_spec()
  • CtypeDoubtWarning
• crandas.config
  • User settings
  • config_path()
• crandas.connection_file
  • ConnectionFileError
  • read()
  • write()
• crandas.errors
  • BoundsError
  • BoundsErrorCode
    • BoundsErrorCode.UNDEFINED
    • BoundsErrorCode.MALFORMED_SPEC
    • BoundsErrorCode.INSUFFICIENT_SPEC_MIN
    • BoundsErrorCode.INSUFFICIENT_SPEC_MAX
    • BoundsErrorCode.OVERSIZED_SPEC_RANGE
    • BoundsErrorCode.OVERSIZED_DERIVED_RANGE
  • EngineError
  • EngineErrorCode
    • EngineErrorCode.INTERNAL_SERVER_ERROR
    • EngineErrorCode.DATA_VALUE_ERROR
    • EngineErrorCode.METADATA_ERROR
    • EngineErrorCode.THRESHOLD_NOT_MET
    • EngineErrorCode.RANDOM_ERROR
    • EngineErrorCode.ENVIRONMENT_ERROR
    • EngineErrorCode.OBJECT_NOT_FOUND
    • EngineErrorCode.WRONG_OBJECT
    • EngineErrorCode.CLIENT_MISMATCH
    • EngineErrorCode.UNSUPPORTED
    • EngineErrorCode.NOT_AUTHORIZED
  • InvalidServerResponse
  • MergeError
  • ModelError
  • SeriesEncodingError
• crandas.groupby
  • Aggregator
  • CDataFrameGroupBy
    • CDataFrameGroupBy.__getitem__()
    • CDataFrameGroupBy.as_table()
    • CDataFrameGroupBy.col()
    • CDataFrameGroupBy.size()
  • CSeriesGroupBy
    • CSeriesGroupBy.agg()
  • any
  • get()
  • max
  • min
  • sum
• crandas.placeholders
  • Any
• crandas.re
  • Re
• crandas.script
  • Script
    • Script.get_inputs()
    • Script.print_inputs()
    • Script.run_tag
    • Script.save()
    • Script.skip()
  • ScriptIsActiveWarning
  • ScriptMode
    • ScriptMode.RECORDING
    • ScriptMode.EXECUTING
    • ScriptMode.CLOSED
  • authorize_query()
  • current_script()
  • dummy_name_for()
  • get_frame()
  • load()
  • record()
  • save()
  • stepless()
• crandas.stateobject
  • ObjectProperty
  • SaveMode
    • SaveMode.IF_NOT_EXISTS
    • SaveMode.IF_EXISTS
    • SaveMode.ALWAYS
  • StateObject
    • StateObject.add_output()
    • StateObject.clone()
    • StateObject.get_deferred()
    • StateObject.get_dry_run_result()
    • StateObject.open_dry_run_result()
    • StateObject.opened_to_json_output()
    • StateObject.parse_response()
    • StateObject.reference
    • StateObject.remove()
    • StateObject.result
    • StateObject.save()
    • StateObject.set_frame()
  • UnknownSchemaError
  • get()
  • get_upload_handles()
  • list_uploads()
• crandas.stats
  • stats.hypothesis_testing
    • Chi2ContingencyResult
      • Chi2ContingencyResult.__new__()
    • chi2_contingency()
    • chisquare()
    • kruskal()
    • ttest_ind()
  • stats.contingency
    • CrosstabResult
      • CrosstabResult.as_table()
      • CrosstabResult.open()
    • crosstab()
    • expected_freq()
  • stats.ranking
    • rankdata()
    • tiecorrect()
• crandas.transactions
  • Transaction
  • show_transaction_graph()
• crandas.compat
  • Merge (pre-v1.11.0 version)
    • merge()
• crandas.unsafe
  • merge_m2m()
• Query Arguments
  • Command options
  • Execution options
  • Upload options