X-DataInitiative/tick
Module for statistical learning, with a particular emphasis on time-dependent modelling
This tool helps researchers and analysts understand and predict patterns in event data that changes over time, like health records, stock market trades, or social media posts. It takes sequences of events with timestamps as input and produces statistical models and simulations that reveal underlying trends and interactions. Professionals in fields such as public health, finance, and social science can use this to make sense of complex, time-sensitive information.
541 stars. No commits in the last 6 months.
Use this if you need to analyze how events influence each other over time, identify hidden signals in sequential data, or simulate future time-dependent scenarios.
Not ideal if your data lacks a time component or consists of static observations without sequential dependency.
Stars
541
Forks
119
Language
Python
License
BSD-3-Clause
Category
Last pushed
Nov 27, 2024
Commits (30d)
0
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