String, name of the key in label dict. Can be null if label
is a tensor (single headed models).
weight_column_name
A string defining feature column name representing
weights. It is used to down weight or boost examples during training. It
will be multiplied by the loss of the example.
label_dimension
Number of regression labels per example. This is the size
of the last dimension of the labels Tensor (typically, this has shape
[batch_size, label_dimension]).
enable_centered_bias
A bool. If True, estimator will learn a centered
bias variable for each class. Rest of the model structure learns the
residual after centered bias.
head_name
name of the head. If provided, predictions, summary and metrics
keys will be suffixed by "/" + head_name and the default variable scope
will be head_name.
link_fn
link function to convert logits to predictions. If provided,
this link function will be used instead of identity.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]