classifier.py:
	updated report_score so that pickle file uses the ratio of prior distributions. added a 'penalty w' and 'spike-enhancer spk' to adjustscore.
w=spk=1 is the most natural, but w=100, spk=1.75 gives optimal performance.

PALFA_Priordists.pkl:
        an updated version of the PALFA distribution, which corrects the factor 1000 in previous versions. Now, P(F0|r)/P(F0|p) ~ 1 off-spike, as expected.

Palfa_F0distribution.pkl:
	the raw bins and bin-counts from querying the PALFA database. now you can create your own histograms.