Example #1
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def load():
    """Load the credit card data and returns a Dataset class.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    return du.process_recarray(data, endog_idx=0, dtype=float)
Example #2
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def load():
    """Load the committee data and returns a data class.

    Returns
    --------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    return du.process_recarray(data, endog_idx=0, dtype=float)
Example #3
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def load():
    """Load the anes96 data and returns a Dataset class.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    return du.process_recarray(data, endog_idx=5, exog_idx=[10,2,6,7,8],
            dtype=float)
Example #4
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def load():
    """
    Load the Spector dataset and returns a Dataset class instance.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    return du.process_recarray(data, endog_idx=3, dtype=float)
Example #5
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def load():
    """
    Load the star98 data and returns a Dataset class instance.

    Returns
    -------
    Load instance:
        a class of the data with array attrbutes 'endog' and 'exog'
    """
    data = _get_data()
    return du.process_recarray(data, endog_idx=[0, 1], dtype=float)
Example #6
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def load():
    """
    Load the data and return a Dataset class instance.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    ##### SET THE INDICES #####
    #NOTE: None for exog_idx is the complement of endog_idx
    return du.process_recarray(data, endog_idx=0, exog_idx=None, dtype=float)
Example #7
0
def load():
    """
    Load the data and return a Dataset class instance.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    ##### SET THE INDICES #####
    #NOTE: None for exog_idx is the complement of endog_idx
    return du.process_recarray(data, endog_idx=8, exog_idx=None, dtype=float)
Example #8
0
def load():
    """Load the anes96 data and returns a Dataset class.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.
    """
    data = _get_data()
    return du.process_recarray(data,
                               endog_idx=5,
                               exog_idx=[10, 2, 6, 7, 8],
                               dtype=float)
Example #9
0
def load():
    """
    Loads the RAND HIE data and returns a Dataset class.

    ----------
    endog - response variable, mdvis
    exog - design

    Returns
    Load instance:
        a class of the data with array attrbutes 'endog' and 'exog'
    """
    data = _get_data()
    return du.process_recarray(data, endog_idx=0, dtype=float)
Example #10
0
def load():
    """
    Loads the RAND HIE data and returns a Dataset class.

    ----------
    endog - response variable, mdvis
    exog - design

    Returns
    Load instance:
        a class of the data with array attrbutes 'endog' and 'exog'
    """
    data = _get_data()
    return du.process_recarray(data, endog_idx=0, dtype=float)
Example #11
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def load():
    """
    Loads the Grunfeld data and returns a Dataset class.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.

    Notes
    -----
    raw_data has the firm variable expanded to dummy variables for each
    firm (ie., there is no reference dummy)
    """
    data = _get_data()
    raw_data = categorical(data, col='firm', drop=True)
    ds = du.process_recarray(data, endog_idx=0, stack=False)
    ds.raw_data = raw_data
    return ds
Example #12
0
def load():
    """
    Loads the Grunfeld data and returns a Dataset class.

    Returns
    -------
    Dataset instance:
        See DATASET_PROPOSAL.txt for more information.

    Notes
    -----
    raw_data has the firm variable expanded to dummy variables for each
    firm (ie., there is no reference dummy)
    """
    data = _get_data()
    raw_data = categorical(data, col='firm', drop=True)
    ds = du.process_recarray(data, endog_idx=0, stack=False)
    ds.raw_data = raw_data
    return ds