tfestimators: session_run_hook – R documentation

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session_run_hook

Create Custom Session Run Hooks

Description

Create a set of session run hooks, used to record information during training of an estimator. See Details for more information on the various hooks that can be defined.

Usage

session_run_hook(begin = function() { },
  after_create_session = function(session, coord) { },
  before_run = function(context) { }, after_run = function(context,
  values) { }, end = function(session) { })

Arguments

`begin`	`function()`: An R function, to be called once before using the session.
`after_create_session`	`function(session, coord)`: An R function, to be called once the new TensorFlow session has been created.
`before_run`	`function(run_context)`: An R function to be called before a run.
`after_run`	`function(run_context, run_values)`: An R function to be called after a run.
`end`	`function(session)`: An R function to be called at the end of the session. Typically, you'll want to define a `before_run()` hook that defines the set of tensors you're interested in for a particular run, and then you'll use the resulting values of those tensors in your `after_run()` hook. The tensors requested in your `before_run()` hook will be made available as part of the second argument in the `after_run()` hook (the `values` argument).

session_run_hook

Description

Usage

Arguments

See Also

tfestimators

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