SciTeX ML

scitex-ml is the standalone home of classical / deep machine-learning utilities — classification reporters, time-series CV, training helpers, loss / metrics / optim, clustering, sampling, and sklearn integration.

import scitex_ml

clf = scitex_ml.Classifier("LogisticRegression")
clf.fit(X_tr, y_tr)
reporter = scitex_ml.ClassificationReporter("./results")
reporter.calc_metrics(y_te, clf.predict(X_te), clf.predict_proba(X_te))

The umbrella scitex-python exposes this package as scitex.ml. Generative-AI utilities (GenAI, agents, image / audio / video) live in the sibling package scitex-genai.

Four interfaces, one package

Interface	Access	Use case
Python API	import scitex_ml	Scripts, notebooks, training pipelines
CLI	scitex-ml compute-metrics ...	Terminal, shell scripts (stateless analysis)
MCP Server	scitex-ml mcp start	AI agents computing metrics / reports / projections
Skills	scitex-ml skills list	AI agents discovering capabilities

Getting Started

• Installation
• Quickstart

Interfaces

• CLI Reference
  • Commands
  • Analysis verbs
  • Introspection
  • Shell completion
• MCP Server
  • Installation
  • Starting the server
  • MCP host configuration
  • Available tools
  • Parity
  • Diagnostics

API Reference

• API Reference
  • scitex_ml.classification
  • scitex_ml.clustering
  • scitex_ml.feature_extraction
  • scitex_ml.feature_selection
  • scitex_ml.loss
  • scitex_ml.metrics
  • scitex_ml.optim
  • scitex_ml.plt
  • scitex_ml.sampling
  • scitex_ml.sklearn
  • scitex_ml.training
  • scitex_ml.utils

Indices and tables

• Index

• Module Index

• Search Page