def __init__(self, anomalies, correlations):
self.anomalies = anomalies<EOL>self.correlations = correlations<EOL>self._analyze_root_causes()<EOL>
:param list anomalies: a list of `Anomaly` objects.
                       `Anomaly` is defined in luminol.modules.anomaly.

:param dict correlations: a dict represents correlated metrics(`TimeSeries` object) to each anomaly.
                          each key-value pair looks like this:
                          `Anomaly` --> [metric1, metric2, metric3 ...].