Entity prioritization and escalation detection using GLMM statistical models
Project description
Priorityx: Entity prioritization and escalation detection using GLMM statistical models
Installation
pip install priorityx
Quick Start
import polars as pl
from priorityx.core.glmm import fit_priority_matrix
from priorityx.viz.matrix import plot_priority_matrix
df = pl.read_csv("data.csv")
results, stats = fit_priority_matrix(
df,
entity_col="service",
timestamp_col="date",
temporal_granularity="quarterly"
)
plot_priority_matrix(results, entity_name="Service", save_plot=True)
Features
- GLMM-based priority classification (Q1-Q4 quadrants)
- Transition detection over time
- Movement tracking
- Visualization
Use Cases
IT incidents, software bugs, compliance violations, performance monitoring.
Documentation
Project details
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