nannyml.config module
- class nannyml.config.ChunkerConfig(*, chunk_size: Optional[int] = None, chunk_period: Optional[str] = None, chunk_count: Optional[int] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- chunk_count: Optional[int]
- chunk_period: Optional[str]
- chunk_size: Optional[int]
- class nannyml.config.ColumnMapping(*, features: List[str], timestamp: str, y_pred: str, y_pred_proba: Optional[Union[str, Dict[str, str]]] = None, y_true: str)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- features: List[str]
- timestamp: str
- y_pred: str
- y_pred_proba: Optional[Union[str, Dict[str, str]]]
- y_true: str
- class nannyml.config.Config(*, input: nannyml.config.InputConfig, output: nannyml.config.WriterConfig, column_mapping: nannyml.config.ColumnMapping, chunker: Optional[nannyml.config.ChunkerConfig] = None, scheduling: Optional[nannyml.config.SchedulingConfig] = None, store: Optional[nannyml.config.StoreConfig] = None, problem_type: str, ignore_errors: Optional[bool] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- chunker: Optional[nannyml.config.ChunkerConfig]
- column_mapping: nannyml.config.ColumnMapping
- ignore_errors: Optional[bool]
- input: nannyml.config.InputConfig
- output: nannyml.config.WriterConfig
- problem_type: str
- scheduling: Optional[nannyml.config.SchedulingConfig]
- store: Optional[nannyml.config.StoreConfig]
- class nannyml.config.CronSchedulingConfig(*, crontab: str)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- crontab: str
- class nannyml.config.DatabaseWriterConfig(*, connection_string: str, model_name: Optional[str] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- connection_string: str
- model_name: Optional[str]
- class nannyml.config.FileStoreConfig(*, path: str)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- path: str
- class nannyml.config.InputConfig(*, reference_data: nannyml.config.InputDataConfig, analysis_data: nannyml.config.InputDataConfig, target_data: Optional[nannyml.config.TargetDataConfig] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- analysis_data: nannyml.config.InputDataConfig
- reference_data: nannyml.config.InputDataConfig
- target_data: Optional[nannyml.config.TargetDataConfig]
- class nannyml.config.InputDataConfig(*, path: str, credentials: Optional[Dict[str, Any]] = None, read_args: Optional[Dict[str, Any]] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- credentials: Optional[Dict[str, Any]]
- path: str
- read_args: Optional[Dict[str, Any]]
- class nannyml.config.IntervalSchedulingConfig(*, weeks: Optional[int] = None, days: Optional[int] = None, hours: Optional[int] = None, minutes: Optional[int] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- days: Optional[int]
- hours: Optional[int]
- minutes: Optional[int]
- weeks: Optional[int]
- class nannyml.config.PickleWriterConfig(*, path: str, credentials: Optional[Dict[str, Any]] = None, write_args: Optional[Dict[str, Any]] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- credentials: Optional[Dict[str, Any]]
- path: str
- write_args: Optional[Dict[str, Any]]
- class nannyml.config.RawFileWriterConfig(*, path: str, format: str = 'parquet', credentials: Optional[Dict[str, Any]] = None, write_args: Optional[Dict[str, Any]] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- credentials: Optional[Dict[str, Any]]
- format: str
- path: str
- write_args: Optional[Dict[str, Any]]
- class nannyml.config.SchedulingConfig(*, interval: Optional[nannyml.config.IntervalSchedulingConfig] = None, cron: Optional[nannyml.config.CronSchedulingConfig] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- cron: Optional[nannyml.config.CronSchedulingConfig]
- interval: Optional[nannyml.config.IntervalSchedulingConfig]
- class nannyml.config.StoreConfig(*, file: Optional[nannyml.config.FileStoreConfig] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- file: Optional[nannyml.config.FileStoreConfig]
- class nannyml.config.TargetDataConfig(*, path: str, credentials: Optional[Dict[str, Any]] = None, read_args: Optional[Dict[str, Any]] = None, join_column: Optional[str] = None)[source]
Bases:
nannyml.config.InputDataConfig
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- join_column: Optional[str]
- class nannyml.config.WriterConfig(*, database: Optional[nannyml.config.DatabaseWriterConfig] = None, raw_files: Optional[nannyml.config.RawFileWriterConfig] = None, pickle: Optional[nannyml.config.PickleWriterConfig] = None)[source]
Bases:
pydantic.main.BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- database: Optional[nannyml.config.DatabaseWriterConfig]
- pickle: Optional[nannyml.config.PickleWriterConfig]
- raw_files: Optional[nannyml.config.RawFileWriterConfig]