.. _fwflag_train_bootstraps_ns:
======================
--train_bootstraps_ns
======================
Switch
======

--train_bootstraps_ns N [N2 ...]

Description
===========

Sample sizes to use when doing bootstrapped training with :doc:`fwflag_train_bootstraps`.

Argument and Default Value
==========================

One or more integers. Default: ``None``.

Details
=======

Verified end-to-end: with ``--train_bootstraps 3 --train_bootstraps_ns 20 40``, ran 3 resamples at sample size 20, then 3 more at sample size 40 (printing ``Sample Size: 20, bs resample num: 1/2/3`` then the same for 40) — useful for building a learning curve of model performance vs. training set size.

Other Switches
==============

Required Switches:

* :doc:`fwflag_train_regression`
* :doc:`fwflag_train_bootstraps`

Example Commands
================

Using the packaged ``dla_tutorial`` dataset (see :doc:`../../tutorials/tut_dla`):

.. code-block:: bash

	dlatkInterface.py -d dla_tutorial -t msgs -c user_id -f 'feat$1to3gram$msgs$user_id$0_05' \
	--outcome_table blog_outcomes --outcomes age --train_regression --train_bootstraps 3 \
	--train_bootstraps_ns 500 1000 --save_model --picklefile ./boot_test.pickle