Recommending scripts for constructing machine learning models

A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising:

• building a set of test data for a machine learning model, wherein the building is performed in response to receiving a target data set from a user, wherein the target data set is a data set on which the machine learning model is to be trained to operate;
• identifying a subset of predefined features engineering action scripts from among a plurality of predefined features engineering action scripts, wherein the subset of predefined features engineering action scripts is determined to be applicable to the set of test data;
• and
• automatically generating a recommended features engineering action script for operating on the target data set, wherein the automatically generating comprises customizing at least one parameter of at least one predefined features engineering action script of the subset of predefined features engineering action scripts to extract data values from at least one location in the target data set, and wherein the recommended features engineering action script is recommended to the user for inclusion in a features engineering component of the machine learning model.

A device comprising:

• a processing system including at least one processor;
• and
• a non-transitory computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising:
• building a set of test data for a machine learning model, wherein the building is performed in response to receiving a target data set from a user, wherein the target data set is a data set on which the machine learning model is to be trained to operate;
• identifying a subset of predefined features engineering action scripts from among a plurality of predefined features engineering action scripts, wherein the subset of predefined features engineering action scripts is determined to be applicable to the set of test data;
• and
• automatically generating a recommended features engineering action script for operating on the target data set, wherein the automatically generating comprises customizing at least one parameter of at least one predefined features engineering action script of the subset of predefined features engineering action scripts to extract data values from at least one location in the target data set, and wherein the recommended features engineering action script is recommended to the user for inclusion in a features engineering component of the machine learning model.