Systems and methods include receiving a tuning work request for tuning hyperparameters of
a third-party model or system; performing, by a machine learning-based tuning service, a …

Abstract Systems and methods determine optimized hyperparameter values for one or more
machine-learning models. A sample training data set from a larger corpus of training data is …

Abstract Systems and methods for implementing an application programming interface (API)
that controls operations of a machine learning tuning service for tuning a machine learning …

Mechanisms are provided for training a computer implemented model. The mechanisms
perform multiple instances of training of the computer implemented model, where each …

Abstract Systems and methods for tuning hyperparameters of a model include receiving a
tuning request for tuning hyperparameters, the tuning request includes a first and a second …

A system and method for tuning hyperparameters and training a model includes
implementing a hyperparameter tuning service that tunes hyperparameters of a model that …

(57) ABSTRACT A system and method includes receiving a tuning work request for tuning
an external machine learning model; implementing a plurality of distinct queue worker …

The present disclosure is related to framework for automati cally and efficiently finding
machine learning (ML) archi tectures that generalize well across multiple artificial intel …

This application relates to apparatus and methods for optimizing hyperparameters for
machine learning models. In some examples, a computing device configures a machine …

Disclosed examples include after a first tuning of hyperparameters in a hyperparameter
space, selecting first hyperparameter values for respective ones of the hyperparameters; …