twinlab.Dataset

class twinlab.Dataset(id, project='personal', project_owner=None)

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

Note that instantiating a dataset object locally does not create a new dataset on the twinLab cloud. Instead, it can be used either to interact with an existing dataset that has been uploaded to the cloud or as a precursor step to uploading a new dataset.

Parameters:

id (str) – Name of the dataset.

Example

dataset = tl.Dataset("my_dataset")

__init__(id, project='personal', project_owner=None)

Methods

__init__(id[, project, project_owner])
analyse_input_variance(columns[, verbose])
analyse_output_variance(columns[, verbose])
analyse_variance(columns[, verbose])	Return an analysis of the variance retained per dimension after performing singular value decomposition (SVD) on the dataset.
append(df[, verbose])	Append new data to an existing dataset in the twinLab cloud.
delete([verbose])	Delete a dataset that was previously uploaded to the twinLab cloud.
lock([verbose])	Lock a dataset that was previously uploaded to the twinLab cloud.
summarise([verbose])	Show summary statistics for a dataset that exists on the twinLab cloud.
unlock([verbose])	Unlock a dataset that was previously uploaded to the twinLab cloud.
upload(df[, verbose])	Upload a dataset to the twinLab cloud so that it can be queried and used for training.
view([verbose])	View (and download) a dataset that exists on the twinLab cloud.