Design of customizable machine learning services

A system, comprising:

• a memory;
• and
• at least one processor coupled to the memory and configured to:
• receive a dataset schema,
• receive a dataset unique to a user, wherein the dataset includes a plurality of records,
• validate the dataset based on the dataset schema,
• receive a selection of a model template,
• receive a request for creating a custom machine learning model based on the model template, the dataset, and the dataset schema,
• receive a request for a classification of a new record separate from the plurality of records,
• determine the classification of the new record based on the custom machine learning model, and
• output the classification of the new record to the user.

A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• receiving a dataset schema;
• receiving a dataset unique to a user, wherein the dataset includes a plurality of records;
• validating the dataset based on the dataset schema;
• receiving a selection of a model template;
• receiving a request for creating a custom machine learning model based on the model template, the dataset, and the dataset schema;
• receiving a request for a classification of a new record separate from the plurality of records based on the custom machine learning model;
• determining the classification of the new record based on the custom machine learning model;
• and
• outputting the classification of the new record to the user.