prfmodel.utils

Utility functions.

Classes

TensorFrame

A dictionary-like object that supports dataframe-style column selection but returns Keras tensors.

Functions

as_tensor_frame(→ TensorFrame)	Convert user-supplied parameters into the tensor-holding representation.
batched(→ collections.abc.Callable)	Decorate a model prediction function to make batched predictions.
convert_parameters_to_tensor(→ prfmodel.typing.Tensor)	Convert model parameters in a dataframe into a tensor.
get_dtype(→ str)	Get the (default) dtype.
normalize_response(→ prfmodel.typing.Tensor)	Normalize a response.

Module Contents

prfmodel.utils.DTYPES

Accepted dtypes for prfmodel.typing.Tensor objects.

Accepted dtypes are: “float16”, “float32”, and “float64”.