Dataset

The following functions are contained in the twinlab.Dataset class.

Constructor

Dataset(id[, project, project_owner])

A twinLab dataset that can be used for training an emulator online.

Upload data

Dataset.upload(df[, verbose])	Upload a dataset to the twinLab cloud so that it can be queried and used for training.
Dataset.append(df[, verbose])	Append new data to an existing dataset in the twinLab cloud.

Explore data

Dataset.view([verbose])	View (and download) a dataset that exists on the twinLab cloud.
Dataset.summarise([verbose])	Show summary statistics for a dataset that exists on the twinLab cloud.
Dataset.analyse_variance(columns[, verbose])	Return an analysis of the variance retained per dimension after performing singular value decomposition (SVD) on the dataset.
Dataset.analyse_input_variance(columns[, ...])
Dataset.analyse_output_variance(columns[, ...])

Delete data

Dataset.delete([verbose])

Delete a dataset that was previously uploaded to the twinLab cloud.

Lock data

Dataset.lock([verbose])	Lock a dataset that was previously uploaded to the twinLab cloud.
Dataset.unlock([verbose])	Unlock a dataset that was previously uploaded to the twinLab cloud.