msticpy/analysis/anomalous_sequence/utils/cmds_only.py [125:173]:
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    use_start_token: bool,
    use_end_token: bool,
    start_token: str = None,
    end_token: str = None,
) -> float:
    """
    Compute the likelihood of the input `window`.

    Parameters
    ----------
    window: List[str]
        part or all of a session, where a session is a list of commands (strings)
        an example session:
            ['Set-User', 'Set-Mailbox']
    prior_probs: Union[StateMatrix, dict]
        computed probabilities of individual commands
    trans_probs: Union[StateMatrix, dict]
        computed probabilities of sequences of commands (length 2)
    use_start_token: bool
        if set to True, the start_token will be prepended to the window
        before the likelihood calculation is done
    use_end_token: bool
        if set to True, the end_token will be appended to the window
        before the likelihood calculation is done
    start_token: str
        dummy command to signify the start of the session (e.g. "##START##")
    end_token: str
        dummy command to signify the end of the session (e.g. "##END##")

    Returns
    -------
    likelihood of the window

    """
    if use_start_token:
        if start_token is None:
            raise MsticpyException(
                "start_token should not be None, when use_start_token is True"
            )

    if use_end_token:
        if end_token is None:
            raise MsticpyException(
                "end_token should not be None, when use_end_token is True"
            )

    w_len = len(window)
    if w_len == 0:
        return np.nan
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msticpy/analysis/anomalous_sequence/utils/cmds_params_values.py [342:400]:
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    use_start_token: bool,
    use_end_token: bool,
    start_token: str = None,
    end_token: str = None,
) -> float:
    """
    Compute the likelihood of the input `window`.

    Parameters
    ----------
    window: List[Cmd]
        part or all of a session, where a session is a list the Cmd datatype
        an example session:
            [
                Cmd(name='Set-User', params={'Identity': 'blahblah', 'Force': 'true'}),
                Cmd(name='Set-Mailbox',
                    params={'Identity': 'blahblah', 'AuditEnabled': 'false'})
            ]
    prior_probs: Union[StateMatrix, dict]
        computed probabilities of individual commands
    trans_probs: Union[StateMatrix, dict]
        computed probabilities of sequences of commands (length 2)
    param_cond_cmd_probs: Union[StateMatrix, dict]
        computed probabilities of the params conditional on the commands
    value_cond_param_probs: Union[StateMatrix, dict]
        computed probabilities of the values conditional on the params
    modellable_params: set
        set of params for which we will also include the probabilties
        of their values in the calculation of the likelihood
    use_start_token: bool
        if set to True, the start_token will be prepended to the
        window before the likelihood calculation is done
    use_end_token: bool
        if set to True, the end_token will be appended to the window
        before the likelihood calculation is done
    start_token: str
        dummy command to signify the start of the session (e.g. "##START##")
    end_token: str
        dummy command to signify the end of the session (e.g. "##END##")

    Returns
    -------
    likelihood of the window

    """
    if use_start_token:
        if start_token is None:
            raise MsticpyException(
                "start_token should not be None, when use_start_token is True"
            )
    if use_end_token:
        if end_token is None:
            raise MsticpyException(
                "end_token should not be None, when use_end_token is True"
            )

    w_len = len(window)
    if w_len == 0:
        return np.nan
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