mit_d3m.dataset module

Classes

D3MDS(dataset, problem)
D3MDataset(dataset)
D3MProblem(problem)

Functions

pythonize(name)

class mit_d3m.dataset.D3MDS(dataset, problem)

Bases: object

Methods

get_columns()
get_data()
get_data_modality()
get_metric()
get_problem_id()
get_related_resources(data_modality)
get_resources_dir(data_modality)
get_task_subtype()
get_task_type()
load_graphs()

dataset = None

get_columns()

get_data()

get_data_modality()

get_metric()

get_problem_id()

get_related_resources(data_modality)

get_resources_dir(data_modality)

get_task_subtype()

get_task_type()

load_graphs()

problem = None

class mit_d3m.dataset.D3MDataset(dataset)

Bases: object

Methods

get_data_modality()	Detect the data modality based on the resource_types.
get_datasetID()	Get the datasetID from datasetDoc.
get_dataset_schema_version()	Get the dataset schema version that was used to create this dataset.
get_graph_resources()
get_graphs_as_nx()
get_image_path()	Returns the path of the directory containing images if they exist in this dataset.
get_learning_data()	Get the contents of learningData.doc as a DataFrame.
get_learning_data_columns()
get_related_resource_names(resource_type)
get_resource_types()
get_text_path()	Returns the path of the directory containing text if they exist in this dataset.

dsDoc = None

dsHome = None

get_data_modality()

Detect the data modality based on the resource_types.

resource_types == [‘table’] => ‘single_table’ resource_types == [‘something_else’…] => ‘something_else’ # this is not likely resource_types == [‘table’, ‘table’…] => ‘multi_table’ resource_types == [‘table’, ‘something_else’…] => ‘something_else’

get_datasetID()

Get the datasetID from datasetDoc.

get_dataset_schema_version()

Get the dataset schema version that was used to create this dataset.

get_graph_resources()

get_graphs_as_nx()

get_image_path()

Returns the path of the directory containing images if they exist in this dataset.

get_learning_data()

Get the contents of learningData.doc as a DataFrame.

get_learning_data_columns()

get_related_resource_names(resource_type)

get_resource_types()

get_text_path()

Returns the path of the directory containing text if they exist in this dataset.

learningDataFile = None

class mit_d3m.dataset.D3MProblem(problem)

Bases: object

Methods

get_performance_metrics()
get_problem_id()	Get the problemID from problemDoc.
get_problem_schema_version()	Get the problem schema version that was used to create this dataset.
get_target_column_names()
get_task_subtype()
get_task_type()

get_performance_metrics()

get_problem_id()

Get the problemID from problemDoc.

get_problem_schema_version()

Get the problem schema version that was used to create this dataset.

get_target_column_names()

get_task_subtype()

get_task_type()

prDoc = None

prHome = None

splitsFile = None

mit_d3m.dataset.pythonize(name)