tinker-types

To construct Datum and ModelInput for Tinker SDK training data, instantiate the core type schemas using the provided type references and examples to ensure your training pipelines receive structurally valid inputs.

Datum and TensorData are core Tinker SDK types used to build training data and structure model inputs. TensorData specifically handles tensor representations, while Datum serves as a foundational data wrapper for training pipelines.

Type validation errors in Tinker SDK data pipelines occur when instantiated types like Datum, ModelInput, or TensorData do not match the expected schemas. Use the type reference to validate schemas and debug data pipelines.

Interpreting API responses and error types in Tinker workflows involves mapping the returned data against the core SDK types. The skill provides guidance on interpreting responses and handling common error types encountered during data processing.

Yes, you can use Tinker SDK types to validate training data schemas before model execution. Constructing ModelInput and Datum instances according to the type reference ensures your data conforms to the required structure for training pipelines.