Comments (3)
Initially let's do random data and linear data with adjustable noise, plus anything else you guys find relevant
from aipen.
Statistical noise is unexplained variability within a data sample. The term noise, in this context, came from signal processing where it was used to refer to unwanted electrical or electromagnetic energy that degrades the quality of signals and data.
from aipen.
Need a module for this
from aipen.
Related Issues (20)
- Logger is bugged (pre-rollback) HOT 3
- Fix importing HOT 1
- Abstract model enhancements
- Initial data module HOT 2
- RandomModel distribution only works for min/max distributions HOT 1
- Data generation
- Get Travis to run without pip installing in dev mode
- Move setup.py to top level dir
- Add option to open live logs as subprocesses/etc HOT 1
- Logging tests
- Visualization module extensions
- Upgrade to Python 3.7
- Find a way to move setup.py and requirements.txt to root
- Problem and agent/model abstracts
- Talk to Essex about digital forensics
- Interview digital forensics contacts
- Add builds for multiple configurations
- Cloud API and web interface
- Top performing models, similar problems, etc
- Additional activities
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from aipen.