tapas.datasets.dataset.Dataset

class tapas.datasets.dataset.Dataset

Bases: abc.ABC

Base class for the dataset object.

Methods

`__init__`()
`add_records`(records)	Add record(s) to dataset and return modified dataset.
`create_subsets`(n, sample_size[, drop_records])	Create a number of training datasets (sub-samples from main dataset) of a given sample size and with the option to remove some records.
`drop_records`(record_ids)	Drop a record(s) and return modified dataset.
`get_records`(record_ids)	Select and return a record(s).
`read`(input_path)	Read dataset and description file.
`read_from_string`(data, schema)	Read from dataset and description as strings.
`replace`(record_in, record_out)	Replace a row with a given row.
`sample`(n_samples)	Sample from dataset a set of records.
`write`(output_path)	Write dataset and description to file.
`write_to_string`()	Write dataset to a string.

Attributes

label

abstract add_records(records): Add record(s) to dataset and return modified dataset.

abstract create_subsets(n, sample_size, drop_records=None): Create a number of training datasets (sub-samples from main dataset) of a given sample size and with the option to remove some records.

abstract drop_records(record_ids): Drop a record(s) and return modified dataset.

abstract read_from_string(data, schema): Read from dataset and description as strings.

abstract replace(record_in, record_out): Replace a row with a given row.