client.upload

Input Parameters	Type	Default	Description
project_id	str	None	The unique identifier for the project.
dataset	dict	None	A dictionary mapping dataset slice names to pandas DataFrames.
dataset_id	str	None	A unique identifier for the dataset. Must be a lowercase string between 2-30 characters containing only alphanumeric characters and underscores. Additionally, it must not start with a numeric character.
info	Optional [fdl.DatasetInfo]	None	The Fiddler fdl.DatasetInfo() object used to describe the dataset.
size_check_enabled	Optional [bool]	True	If True, will issue a warning when a dataset has a large number of rows.

import pandas as pd

PROJECT_ID = 'example_project'
DATASET_ID = 'example_dataset'

df = pd.read_csv('example_dataset.csv')

dataset_info = fdl.DatasetInfo.from_dataframe(
    df=df
)

client.upload_dataset(
    project_id=PROJECT_ID,
    dataset_id=DATASET_ID,
    dataset={
        'baseline': df
    },
    info=dataset_info
)

Return Type	Description
dict	A dictionary containing information about the uploaded dataset.

{'uuid': '7046dda1-2779-4987-97b4-120e6185cc0b',
 'name': 'Ingestion dataset Upload',
 'info': {'project_name': 'example_model',
  'resource_name': 'acme_data',
  'resource_type': 'DATASET'},
 'status': 'SUCCESS',
 'progress': 100.0,
 'error_message': None,
 'error_reason': None}