Machine Learning Integration: From Theory to Production
Introduction
Integrating machine learning into production systems requires careful consideration of data pipelines, model deployment, and monitoring.
ML Production Pipeline
// ML production pipeline
class MLProductionPipeline {
async trainModel(trainingData: Dataset): Promise {
const model = await this.mlFramework.train(trainingData);
const evaluation = await this.evaluateModel(model);
if (evaluation.accuracy > this.threshold) {
await