Automated Machine Learning
Perform Mode
The perfect mode for production-ready ML pipelines
The perfect mode for production-ready ML pipelines
The mljar AutoML framework can work in
the Perform mode.
The Perform mode is perfect to get the ML pipeline ready for production.
The Perform mode is using 5-fold Cross-Validation.
It provides good balance between speed of training and accuracy of predictions.
The Perform mode was designed to create production-ready ML pipeline. The models are tuned but not as heavy as in Compete mode.
With Perform mode you will save your time and deliver ready ML solution on schedule.
The Perform mode uses the following Machine Learning algorithms:
Linear Model, Random Forest, Xgboost, LightGBM, CatBoost, Neural Network, Ensemble.
Just set mode="Perform"
during AutoML initialization and you are set!
"""AutoML Perform code """
from supervised import AutoML
# Initialize AutoML in Perform Mode
automl = AutoML(mode="Perform")
automl.fit(X, y)