Learn how to transform raw data into model-ready features through comprehensive preprocessing, variable derivation, dimensionality reduction, and the application of IV, PSI, and WOE metrics, with practical guidelines, thresholds, and visual examples to enhance risk model performance.
This article explains Linux's Pressure Stall Information (PSI) mechanism, its /proc and cgroup interfaces, how to monitor CPU, memory, and I/O pressure, and presents code‑level optimizations to reduce PSI overhead and improve system performance.
This article describes how to build an IntelliJ IDEA plugin that parses Spring MVC controller code using PSI to automatically generate HTTP request definitions, handle method and parameter extraction, manage authentication cookies on macOS, and provides the complete source code and usage instructions.
This presentation explores how to scientifically define, apply, evaluate, and interpret data in financial risk management, covering data alignment with business goals, feature selection, model metrics like KS and PSI, handling pandemic impacts, and methods for model explanation and improvement.
This article explains the motivation, design, implementation, and deployment of a Kotlin static‑analysis IDE plugin that provides real‑time code‑style checks for Android developers, covering tool exploration, AST/PSI parsing, rule creation, architecture layers, and practical installation steps.
Pressure Stall Information (PSI) is a Linux kernel feature that measures real‑time CPU, memory, and I/O pressure by tracking task wait times, offering finer granularity than load average or vmpressure, and enabling more accurate scheduling, cgroup management, and out‑of‑memory handling.
This article explains the concept of PSI (Program Structure Interface) in IntelliJ IDEA, demonstrates how to obtain PsiFile objects, manipulate PsiJavaFile, PsiClass, PsiField, and add annotations and parameters, providing a practical guide for plugin developers.
This article provides a step‑by‑step tutorial on creating IntelliJ IDEA plugins, covering environment preparation, project creation, defining actions, updating plugin.xml, handling UI threads, launching background tasks, using ProgressManager, working with the Virtual File System and PSI, and leveraging the platform's UI components.
This article walks readers through the complete process of creating an IntelliJ IDEA plugin—from installing the SDK and setting up a project, to defining actions, handling UI threads, using background tasks, and exploring core concepts such as VFS and PSI—providing practical code examples and references for further learning.
This article explains the importance of modeling stability, describes how to assess feature and model stability using the Population Stability Index (PSI), provides step‑by‑step calculation methods, and shares practical monitoring practices such as rank mapping and daily SQL‑based checks.
