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module datasetsforecast.phm2008

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class FD001

FD001(seasonality: int = 1, horizon: int = 1, freq: str = ‘None’, train_file: str = ‘train_FD001.txt’, test_file: str = ‘test_FD001.txt’, rul_file: str = ‘RUL_FD001.txt’, n_ts: int = 100, n_test: int = 100)

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method __init__

__init__(
    seasonality: int = 1,
    horizon: int = 1,
    freq: str = 'None',
    train_file: str = 'train_FD001.txt',
    test_file: str = 'test_FD001.txt',
    rul_file: str = 'RUL_FD001.txt',
    n_ts: int = 100,
    n_test: int = 100
) → None

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class FD002

FD002(seasonality: int = 1, horizon: int = 1, freq: str = ‘None’, train_file: str = ‘train_FD002.txt’, test_file: str = ‘test_FD002.txt’, rul_file: str = ‘RUL_FD002.txt’, n_ts: int = 260, n_test: int = 259)

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method __init__

__init__(
    seasonality: int = 1,
    horizon: int = 1,
    freq: str = 'None',
    train_file: str = 'train_FD002.txt',
    test_file: str = 'test_FD002.txt',
    rul_file: str = 'RUL_FD002.txt',
    n_ts: int = 260,
    n_test: int = 259
) → None

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class FD003

FD003(seasonality: int = 1, horizon: int = 1, freq: str = ‘None’, train_file: str = ‘train_FD003.txt’, test_file: str = ‘test_FD003.txt’, rul_file: str = ‘RUL_FD003.txt’, n_ts: int = 100, n_test: int = 100)

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method __init__

__init__(
    seasonality: int = 1,
    horizon: int = 1,
    freq: str = 'None',
    train_file: str = 'train_FD003.txt',
    test_file: str = 'test_FD003.txt',
    rul_file: str = 'RUL_FD003.txt',
    n_ts: int = 100,
    n_test: int = 100
) → None

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class FD004

FD004(seasonality: int = 1, horizon: int = 8, freq: str = ‘None’, train_file: str = ‘train_FD004.txt’, test_file: str = ‘test_FD004.txt’, rul_file: str = ‘RUL_FD004.txt’, n_ts: int = 249, n_test: int = 248)

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method __init__

__init__(
    seasonality: int = 1,
    horizon: int = 8,
    freq: str = 'None',
    train_file: str = 'train_FD004.txt',
    test_file: str = 'test_FD004.txt',
    rul_file: str = 'RUL_FD004.txt',
    n_ts: int = 249,
    n_test: int = 248
) → None

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class PHM2008

PHM2008()

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method __init__

__init__() → None

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method download

download(directory: str) → None
Download PHM2008 Dataset. Args:
  • directory (str): Directory path to download dataset.

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method load

load(
    directory: str,
    group: str,
    clip_rul: bool = True
) → Tuple[DataFrame, DataFrame]
Downloads and loads M3 data. Args:
  • directory (str): Directory where data will be downloaded.
  • group (str): Group name.
  • Allowed groups: ‘FD001’, ‘FD002’, ‘FD003’, ‘FD004’.
  • clip_rul (bool): Wether or not upper bound the remaining useful life to 125.
Returns:
  • Tuple[pd.DataFrame, pd.DataFrame]: Target time series with columns [‘unique_id’, ‘ds’, ‘y’, ‘exogenous’].