Last night was incredible. We went to The Greene Turtle & got a lil drunk while we watched football. Some creepy old man was giving me the eyes ~*OVER MY BOYFRIEND’S SHOULDER*~ and I was so glad when he left. Then some other dude comes over and sits down and he smelled SO STRONGLY of weed. Jus left to go to the bathroom and dude wasted no time tryna talk to me. He was weird as shit. He talked to Jus for a bit when he got back from the bathroom too. Then he asked us to watch his jacket right, and he went out to smoke. A minute later we heard something hit the ground and I’m like “what was that?” and Jus goes “idk I heard it though” and we looked over and DUDE’S BOWL, AND A BUNCH OF WEED AND SHIT FELL OUT OF HIS COAT ON THE FLOOR LMAO. He came back in to Jus putting his shit back in his coat. He thought it was hilarious.

Justin and I each got a strawberry mojito, then he got a few beers and I got two strawberry daiquiris. We got some fries and some chips and pico too. It was really fun and even though I was feeling really down and anxious and stressed out earlier in the day, I’m glad I got ready and went out with him. I didn’t really know if I was up for it or not, but I didn’t wanna let Justin down, so I went. I’m really glad I did though because we had fun. My favorite part was coming home for Hulu and chill though 😉

I’m so lucky to be so in love with someone who loves me too. I don’t know what I would do without him in my life. He’s my best friend. My everything. I’m so grateful.

Example of frequent itemset mining in Python. The example used is the popular voting record example (now out of date).

The program returns itemsets which have a probability of appearing over 0.5 (50%). An itemset represents an event, or collection of events, which have occurred. In this case, the events are various combinations of whether an individual voted for a particular policy, as well as whether they were from the Democratic Party of the USA, 1 representing a yes, and 0 representing a no.

We can see that only one pattern, minus each isolated policy vote, was found (with a support over 50%), and that was the relationship between the votes for ‘Aid-To-Nicaragua’ and the political party that individual was in.

For more information on frequent itemset mining, head to these links: [x] [x]