sdk/python/pulumi_aws/cloudwatch/metric_alarm.py
def evaluate_low_sample_count_percentiles(self) -> Optional[pulumi.Input[str]]:
        """
        Used only for alarms
        based on percentiles. If you specify `ignore`, the alarm state will not
        change during periods with too few data points to be statistically significant.
        If you specify `evaluate` or omit this parameter, the alarm will always be
        evaluated and possibly change state no matter how many data points are available.
        The following values are supported: `ignore`, and `evaluate`.
        """
        return pulumi.get(self, "evaluate_low_sample_count_percentiles")

        Used only for alarms
        based on percentiles. If you specify `ignore`, the alarm state will not
        change during periods with too few data points to be statistically significant.
        If you specify `evaluate` or omit this parameter, the alarm will always be
        evaluated and possibly change state no matter how many data points are available.
        The following values are supported: `ignore`, and `evaluate`.
        
Used only for alarms
based on percentiles. If you specify `ignore`, the alarm state will not
change during periods with too few data points to be statistically significant.
If you specify `evaluate` or omit this parameter, the alarm will always be
evaluated and possibly change state no matter how many data points are available.
The following values are supported: `ignore`, and `evaluate`.
Used only for alarms based on percentiles . If you specify ` ignore ` the alarm state will not change during periods with too few data points to be statistically significant . If you specify ` evaluate ` or omit this parameter the alarm will always be evaluated and possibly change state no matter how many data points are available . The following values are supported : ` ignore ` and ` evaluate ` .
def evaluate_low_sample_count_percentiles(self) -> Optional[pulumi.Input[str]]:
        return pulumi.get(self, "evaluate_low_sample_count_percentiles")
def evaluate_low_sample_count_percentiles ( self ) -> Optional [ pulumi . Input [ str ] ] : return pulumi . get ( self , "evaluate_low_sample_count_percentiles" )
Used only for alarms
based on percentiles.
Used only for alarms based on percentiles .
"""
        Used only for alarms
        based on percentiles. If you specify `ignore`, the alarm state will not
        change during periods with too few data points to be statistically significant.
        If you specify `evaluate` or omit this parameter, the alarm will always be
        evaluated and possibly change state no matter how many data points are available.
        The following values are supported: `ignore`, and `evaluate`.
        """
self