Builders class

Definition

Exposes all available builders for a given Dataflow.

Builders(dataflow: azureml.dataprep.api.dataflow.Dataflow, engine_api: azureml.dataprep.api.engineapi.api.EngineAPI)
Inheritance
builtins.object
Builders

Methods

derive_column_by_example(source_columns: typing.List[str], new_column_name: str) -> azureml.dataprep.api.builders.DeriveColumnByExampleBuilder

Constructs an instance of DeriveColumnByExampleBuilder.

detect_file_format() -> azureml.dataprep.api.builders.FileFormatBuilder

Constructs an instance of FileFormatBuilder.

extract_table_from_json(encoding: azureml.dataprep.api.engineapi.typedefinitions.FileEncoding = <FileEncoding.UTF8: 0>) -> azureml.dataprep.api.builders.JsonTableBuilder

Constructs an instance of JsonTableBuilder.

fuzzy_group_column(source_column: str, new_column_name: str, similarity_threshold: float = 0.8, similarity_score_column_name: str = None) -> azureml.dataprep.api.builders.FuzzyGroupBuilder

Constructs an instance of FuzzyGroupBuilder.

impute_missing_values(impute_columns: typing.List[azureml.dataprep.api.builders.ImputeColumnArguments] = None, group_by_columns: typing.Union[typing.List[str], NoneType] = None) -> azureml.dataprep.api.builders.ImputeMissingValuesBuilder

Constructs an instance of ImputeMissingValuesBuilder.

join(right_dataflow: DataflowReference, join_key_pairs: typing.List[typing.Tuple[str, str]] = None, join_type: azureml.dataprep.api.engineapi.typedefinitions.JoinType = <JoinType.MATCH: 2>, left_column_prefix: str = 'l_', right_column_prefix: str = 'r_') -> azureml.dataprep.api.builders.JoinBuilder

Constructs an instance of JoinBuilder.

label_encode(source_column: str, new_column_name: str) -> azureml.dataprep.api.builders.LabelEncoderBuilder

Constructs an instance of LabelEncoderBuilder.

min_max_scale(column: str, range_min: float = 0, range_max: float = 1, data_min: float = None, data_max: float = None) -> azureml.dataprep.api.builders.MinMaxScalerBuilder

Constructs an instance of MinMaxScalerBuilder.

one_hot_encode(source_column: str, prefix: str) -> azureml.dataprep.api.builders.OneHotEncodingBuilder

Constructs an instance of OneHotEncodingBuilder.

pivot(columns_to_pivot: typing.List[str], value_column: str, summary_function: azureml.dataprep.api.engineapi.typedefinitions.SummaryFunction = None, group_by_columns: typing.List[str] = None, null_value_replacement: str = None, error_value_replacement: str = None) -> azureml.dataprep.api.builders.PivotBuilder

Constructs an instance of PivotBuilder.

quantile_transform(source_column: str, new_column: str, quantiles_count: int = 1000, output_distribution: str = 'Uniform')

Constructs an instance of QuantileTransformBuilder.

set_column_types() -> azureml.dataprep.api.builders.ColumnTypesBuilder

Constructs an instance of ColumnTypesBuilder.

split_column_by_example(source_column: str, keep_delimiters: bool = False, delimiters: typing.List[str] = None) -> azureml.dataprep.api.builders.SplitColumnByExampleBuilder

Constructs an instance of SplitColumnByExampleBuilder.

derive_column_by_example(source_columns: typing.List[str], new_column_name: str) -> azureml.dataprep.api.builders.DeriveColumnByExampleBuilder

Constructs an instance of DeriveColumnByExampleBuilder.

derive_column_by_example(source_columns: typing.List[str], new_column_name: str) -> azureml.dataprep.api.builders.DeriveColumnByExampleBuilder

detect_file_format() -> azureml.dataprep.api.builders.FileFormatBuilder

Constructs an instance of FileFormatBuilder.

detect_file_format() -> azureml.dataprep.api.builders.FileFormatBuilder

extract_table_from_json(encoding: azureml.dataprep.api.engineapi.typedefinitions.FileEncoding = <FileEncoding.UTF8: 0>) -> azureml.dataprep.api.builders.JsonTableBuilder

Constructs an instance of JsonTableBuilder.

extract_table_from_json(encoding: azureml.dataprep.api.engineapi.typedefinitions.FileEncoding = <FileEncoding.UTF8: 0>) -> azureml.dataprep.api.builders.JsonTableBuilder

fuzzy_group_column(source_column: str, new_column_name: str, similarity_threshold: float = 0.8, similarity_score_column_name: str = None) -> azureml.dataprep.api.builders.FuzzyGroupBuilder

Constructs an instance of FuzzyGroupBuilder.

fuzzy_group_column(source_column: str, new_column_name: str, similarity_threshold: float = 0.8, similarity_score_column_name: str = None) -> azureml.dataprep.api.builders.FuzzyGroupBuilder

impute_missing_values(impute_columns: typing.List[azureml.dataprep.api.builders.ImputeColumnArguments] = None, group_by_columns: typing.Union[typing.List[str], NoneType] = None) -> azureml.dataprep.api.builders.ImputeMissingValuesBuilder

Constructs an instance of ImputeMissingValuesBuilder.

impute_missing_values(impute_columns: typing.List[azureml.dataprep.api.builders.ImputeColumnArguments] = None, group_by_columns: typing.Union[typing.List[str], NoneType] = None) -> azureml.dataprep.api.builders.ImputeMissingValuesBuilder

join(right_dataflow: DataflowReference, join_key_pairs: typing.List[typing.Tuple[str, str]] = None, join_type: azureml.dataprep.api.engineapi.typedefinitions.JoinType = <JoinType.MATCH: 2>, left_column_prefix: str = 'l_', right_column_prefix: str = 'r_') -> azureml.dataprep.api.builders.JoinBuilder

Constructs an instance of JoinBuilder.

join(right_dataflow: DataflowReference, join_key_pairs: typing.List[typing.Tuple[str, str]] = None, join_type: azureml.dataprep.api.engineapi.typedefinitions.JoinType = <JoinType.MATCH: 2>, left_column_prefix: str = 'l_', right_column_prefix: str = 'r_') -> azureml.dataprep.api.builders.JoinBuilder

label_encode(source_column: str, new_column_name: str) -> azureml.dataprep.api.builders.LabelEncoderBuilder

Constructs an instance of LabelEncoderBuilder.

label_encode(source_column: str, new_column_name: str) -> azureml.dataprep.api.builders.LabelEncoderBuilder

min_max_scale(column: str, range_min: float = 0, range_max: float = 1, data_min: float = None, data_max: float = None) -> azureml.dataprep.api.builders.MinMaxScalerBuilder

Constructs an instance of MinMaxScalerBuilder.

min_max_scale(column: str, range_min: float = 0, range_max: float = 1, data_min: float = None, data_max: float = None) -> azureml.dataprep.api.builders.MinMaxScalerBuilder

one_hot_encode(source_column: str, prefix: str) -> azureml.dataprep.api.builders.OneHotEncodingBuilder

Constructs an instance of OneHotEncodingBuilder.

one_hot_encode(source_column: str, prefix: str) -> azureml.dataprep.api.builders.OneHotEncodingBuilder

pivot(columns_to_pivot: typing.List[str], value_column: str, summary_function: azureml.dataprep.api.engineapi.typedefinitions.SummaryFunction = None, group_by_columns: typing.List[str] = None, null_value_replacement: str = None, error_value_replacement: str = None) -> azureml.dataprep.api.builders.PivotBuilder

Constructs an instance of PivotBuilder.

pivot(columns_to_pivot: typing.List[str], value_column: str, summary_function: azureml.dataprep.api.engineapi.typedefinitions.SummaryFunction = None, group_by_columns: typing.List[str] = None, null_value_replacement: str = None, error_value_replacement: str = None) -> azureml.dataprep.api.builders.PivotBuilder

quantile_transform(source_column: str, new_column: str, quantiles_count: int = 1000, output_distribution: str = 'Uniform')

Constructs an instance of QuantileTransformBuilder.

quantile_transform(source_column: str, new_column: str, quantiles_count: int = 1000, output_distribution: str = 'Uniform')

set_column_types() -> azureml.dataprep.api.builders.ColumnTypesBuilder

Constructs an instance of ColumnTypesBuilder.

set_column_types() -> azureml.dataprep.api.builders.ColumnTypesBuilder

split_column_by_example(source_column: str, keep_delimiters: bool = False, delimiters: typing.List[str] = None) -> azureml.dataprep.api.builders.SplitColumnByExampleBuilder

Constructs an instance of SplitColumnByExampleBuilder.

split_column_by_example(source_column: str, keep_delimiters: bool = False, delimiters: typing.List[str] = None) -> azureml.dataprep.api.builders.SplitColumnByExampleBuilder