- What does the balance mean in EtherScan?
- What are the formal specifications for the temporal reward in Casper?
- Who owns the ETH in the zero account?
- Extruder Clicking without Extrusion Problems
- Upgrade a web server based on raspberry pi 3
- Telugu typing in pantheon-terminal not rendering properly
- pixel stuck where the mouse pointer is, after trying to login with multiple user accounts
- Can I use a name which is registered in another country?
- New York State Uniform Traffic Ticket
- How to apply different Sales Tax rates to the same Membership Type - Back Office
- How to customise Shoreditch?
- Volunteer Signup - Display quantity/quantity_needed
- process_mailing processing addresses when called in UI but not CRON
- How is the music style from a lot of 70's japanese anime or tokasatsu series called?
- How can I convert (AF36) hexadecimal to 2421 BCD?
- What would be the GDP of India on CPI for year 2010-2014?
- Why would an healing factor superhero still be afraid of things?
- How would we deal with over population if we make all humans immortal?
- Always $\&$ Never
- Better than Sliced Bread on Wheels!
Dealing with the order of features (sequences)?
Assume we have following sequence database that is subsequently converted with one-hot encoding:
1 2 3 4
0 A B C D
1 B A D NA
2 A D C NA
A B C D
1 1 1 1
1 1 0 1
1 0 1 1
Actually, the real data has cases like co-occuring items:
1 2 3 4
0 A,B C D
1 B A,D NA
2 A D C NA
When converting the sequential data through one-hot encoding, one key information is lost: The order (sequence) of items in the dataframe. Given that I like to make predictions based on the sequence of actions (A,B,C,D), I am puzzled how to solve this problem?
Or: Is an LSTM able to deal with this data?