gistfile1.txt

def mad_based_outlier(points, thresh=3.5):
    if len(points.shape) == 1:
        points = points[:,None]
    median = np.median(points, axis=0)
    diff = np.sum((points - median)**2, axis=-1)
    diff = np.sqrt(diff)
    med_abs_deviation = np.median(diff)

    modified_z_score = 0.6745 * diff / med_abs_deviation

    return modified_z_score > thresh

gistfile2.txt

      7  com.spigit.lib
     51  com.spigit.servlets
     60  com.spigit.task
     80  com.spigit.site
     80  com.spigit.widget
     85  com.spigit.tx
     96  com.spigit.email
    120  com.spigit.prediction
    120  com.spigit.web
    168  com.spigit.analysis
    168  com.spigit.lang
    168  com.spigit.seo
    168  com.spigit.sitetemplate
    222  com.spigit.privatemessage
    226  com.spigit.util
    315  com.spigit.filter
    412  com.spigit.ws
    512  com.spigit.core
    624  com.spigit.event
    672  com.spigit.pairwise
    792  com.spigit.activitystream
    801  com.spigit.sitechallenge
   3678  com.spigit.community
   4021  com.spigit.api
  16803  com.spigit.model
  27110  com.spigit.entity
 207447  com.spigit.config